diff --git a/true-color-image/01 Download and plot single true-color image.ipynb b/true-color-image/01 Download and plot single true-color image.ipynb
index 5c409ce..bc3db75 100644
--- a/true-color-image/01 Download and plot single true-color image.ipynb	
+++ b/true-color-image/01 Download and plot single true-color image.ipynb	
@@ -559,7 +559,9 @@
     "! mkdir -p {dst_path}\n",
     "\n",
     "product_ids = gdf.loc[:idx, 'uuid'].values\n",
-    "downloads, _m _ = api.download_all(subset, dst_path)"
+    "\n",
+    "api._tqdm = tqdm # monkey-patch for nicer progress bars\n",
+    "downloads, _, _ = api.download_all(subset, dst_path)"
    ]
   },
   {
@@ -815,7 +817,9 @@
     "        'height': height,\n",
     "        'transform': masked_transform\n",
     "    })\n",
-    "    with r.open(out_name, 'w', **kwargs) as dst:\n",
+    "    \n",
+    "    ! mkdir -p output\n",
+    "    with r.open(Path('output') / out_name, 'w', **kwargs) as dst:\n",
     "        dst.write(masked)\n",
     "        print(f'Wrote resulting raster file to {out_name}')"
    ]
diff --git a/true-color-image/02 Indices.ipynb b/true-color-image/02 Indices.ipynb
deleted file mode 100644
index 9a5452e..0000000
--- a/true-color-image/02 Indices.ipynb	
+++ /dev/null
@@ -1,855 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 74,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import folium\n",
-    "import sentinel_helpers"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Let's search for a more detailed geometry this time that would be hard to find outside of OpenStreetMap:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "tempelhofer_feld = sentinel_helpers.search_osm('Tempelhofer Feld, Berlin, Germany').iloc[:1]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# there's a warning about this being in WGS84 which we can ignore\n",
-    "minx, miny, maxx, maxy = tempelhofer_feld.bounds.values[0]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Is the area we have the area we want?\n",
-    "\n",
-    "We preview the geometry on a Leaflet-based map so we can get a better idea of the surrounding area.\n",
-    "Just previewing the outline (as done previously) is not enough in our case."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-      ],
-      "text/plain": [
-       "<folium.folium.Map at 0x7f066efe66a0>"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "m = folium.Map([52, 12], tiles='cartodbpositron')\n",
-    "folium.GeoJson(tempelhofer_feld.to_json()).add_to(m)\n",
-    "m.fit_bounds([[miny, minx], [maxy, maxx]])\n",
-    "m"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "It is! Let's try and be a bit less wasteful this time:\n",
-    "\n",
-    "We download the files from Amazon AWS; keeping the other example (Scihub) still makes sense though, because we have no guarantee from Amazon to provide its service, just its goodwill.\n",
-    "\n",
-    "**NOPE** We need an Amazon AWS access key… maybe we should look into that? For now let's just focus on the task at hand.\n",
-    "\n",
-    "We define the search area by constructing a polygon using the bounding box from above:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 71,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'POLYGON ((13.3860533 52.4656349, 13.3860533 52.4832726, 13.4205262 52.4832726, 13.4205262 52.4656349, 13.3860533 52.4656349))'"
-      ]
-     },
-     "execution_count": 71,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "bounds = [(minx, miny), (minx, maxy), (maxx, maxy), (maxx, miny), (minx, miny)]\n",
-    "footprint = 'POLYGON ((' + ', '.join([f'{x} {y}' for x, y in bounds]) + '))'\n",
-    "footprint"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Let's search for all images that give us a reasonably clear view of the Tempelhofer Feld in 2019."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "tempelhofer_feld.to_crs()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from sentinelsat import SentinelAPI\n",
-    "from datetime import date\n",
-    "import os"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "api = SentinelAPI(os.getenv('SCIHUB_USERNAME'), os.getenv('SCIHUB_PASSWORD'))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "products = api.query(footprint,\n",
-    "                     platformname='Sentinel-2',\n",
-    "                     processinglevel='Level-2A',\n",
-    "                     date=(date(2019,1,1), date(2019,12,31)),\n",
-    "                     cloudcoverpercentage=(0,30))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "77"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "len(products)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We only want the products that acutally contain the Tempelhofer Feld.\n",
-    "We can verify that they all do:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/conda/lib/python3.8/site-packages/pyproj/crs/crs.py:53: FutureWarning: '+init=<authority>:<code>' syntax is deprecated. '<authority>:<code>' is the preferred initialization method. When making the change, be mindful of axis order changes: https://pyproj4.github.io/pyproj/stable/gotchas.html#axis-order-changes-in-proj-6\n",
-      "  return _prepare_from_string(\" \".join(pjargs))\n"
-     ]
-    },
-    {
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-       "      <th></th>\n",
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-       "      <th>link</th>\n",
-       "      <th>link_alternative</th>\n",
-       "      <th>link_icon</th>\n",
-       "      <th>summary</th>\n",
-       "      <th>beginposition</th>\n",
-       "      <th>endposition</th>\n",
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-       "      <th>...</th>\n",
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-       "      <th>3318d298-429c-419d-a141-ec4c2f1820db</th>\n",
-       "      <td>S2A_MSIL2A_20191220T101431_N0213_R022_T33UUU_2...</td>\n",
-       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
-       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
-       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
-       "      <td>Date: 2019-12-20T10:14:31.024Z, Instrument: MS...</td>\n",
-       "      <td>2019-12-20 10:14:31.024</td>\n",
-       "      <td>2019-12-20 10:14:31.024</td>\n",
-       "      <td>2019-12-20 18:15:27.995</td>\n",
-       "      <td>23471</td>\n",
-       "      <td>22</td>\n",
-       "      <td>...</td>\n",
-       "      <td>02.13</td>\n",
-       "      <td>Level-2A</td>\n",
-       "      <td>S2MSI2A</td>\n",
-       "      <td>Sentinel-2</td>\n",
-       "      <td>808.04 MB</td>\n",
-       "      <td>S2A_MSIL2A_20191220T101431_N0213_R022_T33UUU_2...</td>\n",
-       "      <td>S2A_OPER_MSI_L1C_TL_MTI__20191220T105312_A0234...</td>\n",
-       "      <td>S2A_MSIL2A_20191220T101431_N0213_R022_T33UUU_2...</td>\n",
-       "      <td>3318d298-429c-419d-a141-ec4c2f1820db</td>\n",
-       "      <td>MULTIPOLYGON (((12.37364 52.23165, 13.67854 52...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>b602a256-860c-4254-9f28-96c696b8abdb</th>\n",
-       "      <td>S2A_MSIL2A_20191220T101431_N0213_R022_T32UQD_2...</td>\n",
-       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
-       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
-       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
-       "      <td>Date: 2019-12-20T10:14:31.024Z, Instrument: MS...</td>\n",
-       "      <td>2019-12-20 10:14:31.024</td>\n",
-       "      <td>2019-12-20 10:14:31.024</td>\n",
-       "      <td>2019-12-20 18:13:54.812</td>\n",
-       "      <td>23471</td>\n",
-       "      <td>22</td>\n",
-       "      <td>...</td>\n",
-       "      <td>02.13</td>\n",
-       "      <td>Level-2A</td>\n",
-       "      <td>S2MSI2A</td>\n",
-       "      <td>Sentinel-2</td>\n",
-       "      <td>758.00 MB</td>\n",
-       "      <td>S2A_MSIL2A_20191220T101431_N0213_R022_T32UQD_2...</td>\n",
-       "      <td>S2A_OPER_MSI_L1C_TL_MTI__20191220T105312_A0234...</td>\n",
-       "      <td>S2A_MSIL2A_20191220T101431_N0213_R022_T32UQD_2...</td>\n",
-       "      <td>b602a256-860c-4254-9f28-96c696b8abdb</td>\n",
-       "      <td>MULTIPOLYGON (((13.53103 52.17548, 13.63418 53...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2b3f3844-5865-4954-b300-575aa09459d5</th>\n",
-       "      <td>S2A_MSIL2A_20191213T102421_N0213_R065_T33UUU_2...</td>\n",
-       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
-       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
-       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
-       "      <td>Date: 2019-12-13T10:24:21.024Z, Instrument: MS...</td>\n",
-       "      <td>2019-12-13 10:24:21.024</td>\n",
-       "      <td>2019-12-13 10:24:21.024</td>\n",
-       "      <td>2019-12-13 17:58:46.300</td>\n",
-       "      <td>23371</td>\n",
-       "      <td>65</td>\n",
-       "      <td>...</td>\n",
-       "      <td>02.13</td>\n",
-       "      <td>Level-2A</td>\n",
-       "      <td>S2MSI2A</td>\n",
-       "      <td>Sentinel-2</td>\n",
-       "      <td>1.05 GB</td>\n",
-       "      <td>S2A_MSIL2A_20191213T102421_N0213_R065_T33UUU_2...</td>\n",
-       "      <td>S2A_OPER_MSI_L1C_TL_MTI__20191213T110225_A0233...</td>\n",
-       "      <td>S2A_MSIL2A_20191213T102421_N0213_R065_T33UUU_2...</td>\n",
-       "      <td>2b3f3844-5865-4954-b300-575aa09459d5</td>\n",
-       "      <td>MULTIPOLYGON (((12.07160 52.22621, 13.67854 52...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>ecf4ff24-3f5c-40c8-b2b9-191f5adf77be</th>\n",
-       "      <td>S2A_MSIL2A_20191213T102421_N0213_R065_T32UQD_2...</td>\n",
-       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
-       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
-       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
-       "      <td>Date: 2019-12-13T10:24:21.024Z, Instrument: MS...</td>\n",
-       "      <td>2019-12-13 10:24:21.024</td>\n",
-       "      <td>2019-12-13 10:24:21.024</td>\n",
-       "      <td>2019-12-13 17:57:52.211</td>\n",
-       "      <td>23371</td>\n",
-       "      <td>65</td>\n",
-       "      <td>...</td>\n",
-       "      <td>02.13</td>\n",
-       "      <td>Level-2A</td>\n",
-       "      <td>S2MSI2A</td>\n",
-       "      <td>Sentinel-2</td>\n",
-       "      <td>1.05 GB</td>\n",
-       "      <td>S2A_MSIL2A_20191213T102421_N0213_R065_T32UQD_2...</td>\n",
-       "      <td>S2A_OPER_MSI_L1C_TL_MTI__20191213T110225_A0233...</td>\n",
-       "      <td>S2A_MSIL2A_20191213T102421_N0213_R065_T32UQD_2...</td>\n",
-       "      <td>ecf4ff24-3f5c-40c8-b2b9-191f5adf77be</td>\n",
-       "      <td>MULTIPOLYGON (((13.53103 52.17548, 13.63418 53...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>b9903874-93ef-4520-bf49-951e810484f3</th>\n",
-       "      <td>S2A_MSIL2A_20191210T101411_N0213_R022_T33UUU_2...</td>\n",
-       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
-       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
-       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
-       "      <td>Date: 2019-12-10T10:14:11.024Z, Instrument: MS...</td>\n",
-       "      <td>2019-12-10 10:14:11.024</td>\n",
-       "      <td>2019-12-10 10:14:11.024</td>\n",
-       "      <td>2019-12-10 17:49:27.699</td>\n",
-       "      <td>23328</td>\n",
-       "      <td>22</td>\n",
-       "      <td>...</td>\n",
-       "      <td>02.13</td>\n",
-       "      <td>Level-2A</td>\n",
-       "      <td>S2MSI2A</td>\n",
-       "      <td>Sentinel-2</td>\n",
-       "      <td>818.15 MB</td>\n",
-       "      <td>S2A_MSIL2A_20191210T101411_N0213_R022_T33UUU_2...</td>\n",
-       "      <td>S2A_OPER_MSI_L1C_TL_MTI__20191210T104357_A0233...</td>\n",
-       "      <td>S2A_MSIL2A_20191210T101411_N0213_R022_T33UUU_2...</td>\n",
-       "      <td>b9903874-93ef-4520-bf49-951e810484f3</td>\n",
-       "      <td>MULTIPOLYGON (((12.36269 52.23145, 13.67854 52...</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 35 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                                                                  title  \\\n",
-       "3318d298-429c-419d-a141-ec4c2f1820db  S2A_MSIL2A_20191220T101431_N0213_R022_T33UUU_2...   \n",
-       "b602a256-860c-4254-9f28-96c696b8abdb  S2A_MSIL2A_20191220T101431_N0213_R022_T32UQD_2...   \n",
-       "2b3f3844-5865-4954-b300-575aa09459d5  S2A_MSIL2A_20191213T102421_N0213_R065_T33UUU_2...   \n",
-       "ecf4ff24-3f5c-40c8-b2b9-191f5adf77be  S2A_MSIL2A_20191213T102421_N0213_R065_T32UQD_2...   \n",
-       "b9903874-93ef-4520-bf49-951e810484f3  S2A_MSIL2A_20191210T101411_N0213_R022_T33UUU_2...   \n",
-       "\n",
-       "                                                                                   link  \\\n",
-       "3318d298-429c-419d-a141-ec4c2f1820db  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
-       "b602a256-860c-4254-9f28-96c696b8abdb  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
-       "2b3f3844-5865-4954-b300-575aa09459d5  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
-       "ecf4ff24-3f5c-40c8-b2b9-191f5adf77be  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
-       "b9903874-93ef-4520-bf49-951e810484f3  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
-       "\n",
-       "                                                                       link_alternative  \\\n",
-       "3318d298-429c-419d-a141-ec4c2f1820db  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
-       "b602a256-860c-4254-9f28-96c696b8abdb  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
-       "2b3f3844-5865-4954-b300-575aa09459d5  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
-       "ecf4ff24-3f5c-40c8-b2b9-191f5adf77be  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
-       "b9903874-93ef-4520-bf49-951e810484f3  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
-       "\n",
-       "                                                                              link_icon  \\\n",
-       "3318d298-429c-419d-a141-ec4c2f1820db  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
-       "b602a256-860c-4254-9f28-96c696b8abdb  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
-       "2b3f3844-5865-4954-b300-575aa09459d5  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
-       "ecf4ff24-3f5c-40c8-b2b9-191f5adf77be  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
-       "b9903874-93ef-4520-bf49-951e810484f3  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
-       "\n",
-       "                                                                                summary  \\\n",
-       "3318d298-429c-419d-a141-ec4c2f1820db  Date: 2019-12-20T10:14:31.024Z, Instrument: MS...   \n",
-       "b602a256-860c-4254-9f28-96c696b8abdb  Date: 2019-12-20T10:14:31.024Z, Instrument: MS...   \n",
-       "2b3f3844-5865-4954-b300-575aa09459d5  Date: 2019-12-13T10:24:21.024Z, Instrument: MS...   \n",
-       "ecf4ff24-3f5c-40c8-b2b9-191f5adf77be  Date: 2019-12-13T10:24:21.024Z, Instrument: MS...   \n",
-       "b9903874-93ef-4520-bf49-951e810484f3  Date: 2019-12-10T10:14:11.024Z, Instrument: MS...   \n",
-       "\n",
-       "                                               beginposition  \\\n",
-       "3318d298-429c-419d-a141-ec4c2f1820db 2019-12-20 10:14:31.024   \n",
-       "b602a256-860c-4254-9f28-96c696b8abdb 2019-12-20 10:14:31.024   \n",
-       "2b3f3844-5865-4954-b300-575aa09459d5 2019-12-13 10:24:21.024   \n",
-       "ecf4ff24-3f5c-40c8-b2b9-191f5adf77be 2019-12-13 10:24:21.024   \n",
-       "b9903874-93ef-4520-bf49-951e810484f3 2019-12-10 10:14:11.024   \n",
-       "\n",
-       "                                                 endposition  \\\n",
-       "3318d298-429c-419d-a141-ec4c2f1820db 2019-12-20 10:14:31.024   \n",
-       "b602a256-860c-4254-9f28-96c696b8abdb 2019-12-20 10:14:31.024   \n",
-       "2b3f3844-5865-4954-b300-575aa09459d5 2019-12-13 10:24:21.024   \n",
-       "ecf4ff24-3f5c-40c8-b2b9-191f5adf77be 2019-12-13 10:24:21.024   \n",
-       "b9903874-93ef-4520-bf49-951e810484f3 2019-12-10 10:14:11.024   \n",
-       "\n",
-       "                                               ingestiondate  orbitnumber  \\\n",
-       "3318d298-429c-419d-a141-ec4c2f1820db 2019-12-20 18:15:27.995        23471   \n",
-       "b602a256-860c-4254-9f28-96c696b8abdb 2019-12-20 18:13:54.812        23471   \n",
-       "2b3f3844-5865-4954-b300-575aa09459d5 2019-12-13 17:58:46.300        23371   \n",
-       "ecf4ff24-3f5c-40c8-b2b9-191f5adf77be 2019-12-13 17:57:52.211        23371   \n",
-       "b9903874-93ef-4520-bf49-951e810484f3 2019-12-10 17:49:27.699        23328   \n",
-       "\n",
-       "                                      relativeorbitnumber  ...  \\\n",
-       "3318d298-429c-419d-a141-ec4c2f1820db                   22  ...   \n",
-       "b602a256-860c-4254-9f28-96c696b8abdb                   22  ...   \n",
-       "2b3f3844-5865-4954-b300-575aa09459d5                   65  ...   \n",
-       "ecf4ff24-3f5c-40c8-b2b9-191f5adf77be                   65  ...   \n",
-       "b9903874-93ef-4520-bf49-951e810484f3                   22  ...   \n",
-       "\n",
-       "                                      processingbaseline  processinglevel  \\\n",
-       "3318d298-429c-419d-a141-ec4c2f1820db               02.13         Level-2A   \n",
-       "b602a256-860c-4254-9f28-96c696b8abdb               02.13         Level-2A   \n",
-       "2b3f3844-5865-4954-b300-575aa09459d5               02.13         Level-2A   \n",
-       "ecf4ff24-3f5c-40c8-b2b9-191f5adf77be               02.13         Level-2A   \n",
-       "b9903874-93ef-4520-bf49-951e810484f3               02.13         Level-2A   \n",
-       "\n",
-       "                                      producttype  platformname       size  \\\n",
-       "3318d298-429c-419d-a141-ec4c2f1820db      S2MSI2A    Sentinel-2  808.04 MB   \n",
-       "b602a256-860c-4254-9f28-96c696b8abdb      S2MSI2A    Sentinel-2  758.00 MB   \n",
-       "2b3f3844-5865-4954-b300-575aa09459d5      S2MSI2A    Sentinel-2    1.05 GB   \n",
-       "ecf4ff24-3f5c-40c8-b2b9-191f5adf77be      S2MSI2A    Sentinel-2    1.05 GB   \n",
-       "b9903874-93ef-4520-bf49-951e810484f3      S2MSI2A    Sentinel-2  818.15 MB   \n",
-       "\n",
-       "                                                                               filename  \\\n",
-       "3318d298-429c-419d-a141-ec4c2f1820db  S2A_MSIL2A_20191220T101431_N0213_R022_T33UUU_2...   \n",
-       "b602a256-860c-4254-9f28-96c696b8abdb  S2A_MSIL2A_20191220T101431_N0213_R022_T32UQD_2...   \n",
-       "2b3f3844-5865-4954-b300-575aa09459d5  S2A_MSIL2A_20191213T102421_N0213_R065_T33UUU_2...   \n",
-       "ecf4ff24-3f5c-40c8-b2b9-191f5adf77be  S2A_MSIL2A_20191213T102421_N0213_R065_T32UQD_2...   \n",
-       "b9903874-93ef-4520-bf49-951e810484f3  S2A_MSIL2A_20191210T101411_N0213_R022_T33UUU_2...   \n",
-       "\n",
-       "                                                                   level1cpdiidentifier  \\\n",
-       "3318d298-429c-419d-a141-ec4c2f1820db  S2A_OPER_MSI_L1C_TL_MTI__20191220T105312_A0234...   \n",
-       "b602a256-860c-4254-9f28-96c696b8abdb  S2A_OPER_MSI_L1C_TL_MTI__20191220T105312_A0234...   \n",
-       "2b3f3844-5865-4954-b300-575aa09459d5  S2A_OPER_MSI_L1C_TL_MTI__20191213T110225_A0233...   \n",
-       "ecf4ff24-3f5c-40c8-b2b9-191f5adf77be  S2A_OPER_MSI_L1C_TL_MTI__20191213T110225_A0233...   \n",
-       "b9903874-93ef-4520-bf49-951e810484f3  S2A_OPER_MSI_L1C_TL_MTI__20191210T104357_A0233...   \n",
-       "\n",
-       "                                                                             identifier  \\\n",
-       "3318d298-429c-419d-a141-ec4c2f1820db  S2A_MSIL2A_20191220T101431_N0213_R022_T33UUU_2...   \n",
-       "b602a256-860c-4254-9f28-96c696b8abdb  S2A_MSIL2A_20191220T101431_N0213_R022_T32UQD_2...   \n",
-       "2b3f3844-5865-4954-b300-575aa09459d5  S2A_MSIL2A_20191213T102421_N0213_R065_T33UUU_2...   \n",
-       "ecf4ff24-3f5c-40c8-b2b9-191f5adf77be  S2A_MSIL2A_20191213T102421_N0213_R065_T32UQD_2...   \n",
-       "b9903874-93ef-4520-bf49-951e810484f3  S2A_MSIL2A_20191210T101411_N0213_R022_T33UUU_2...   \n",
-       "\n",
-       "                                                                      uuid  \\\n",
-       "3318d298-429c-419d-a141-ec4c2f1820db  3318d298-429c-419d-a141-ec4c2f1820db   \n",
-       "b602a256-860c-4254-9f28-96c696b8abdb  b602a256-860c-4254-9f28-96c696b8abdb   \n",
-       "2b3f3844-5865-4954-b300-575aa09459d5  2b3f3844-5865-4954-b300-575aa09459d5   \n",
-       "ecf4ff24-3f5c-40c8-b2b9-191f5adf77be  ecf4ff24-3f5c-40c8-b2b9-191f5adf77be   \n",
-       "b9903874-93ef-4520-bf49-951e810484f3  b9903874-93ef-4520-bf49-951e810484f3   \n",
-       "\n",
-       "                                                                               geometry  \n",
-       "3318d298-429c-419d-a141-ec4c2f1820db  MULTIPOLYGON (((12.37364 52.23165, 13.67854 52...  \n",
-       "b602a256-860c-4254-9f28-96c696b8abdb  MULTIPOLYGON (((13.53103 52.17548, 13.63418 53...  \n",
-       "2b3f3844-5865-4954-b300-575aa09459d5  MULTIPOLYGON (((12.07160 52.22621, 13.67854 52...  \n",
-       "ecf4ff24-3f5c-40c8-b2b9-191f5adf77be  MULTIPOLYGON (((13.53103 52.17548, 13.63418 53...  \n",
-       "b9903874-93ef-4520-bf49-951e810484f3  MULTIPOLYGON (((12.36269 52.23145, 13.67854 52...  \n",
-       "\n",
-       "[5 rows x 35 columns]"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "products_gdf = api.to_geodataframe(products)\n",
-    "products_gdf.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import geopandas as gpd"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "77"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "intersected = gpd.overlay(products_gdf.to_crs('EPSG:4326'), tempelhofer_feld.to_crs('EPSG:4326'), how='intersection')\n",
-    "len(intersected)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<GeometryArray>\n",
-       "[<shapely.geometry.polygon.Polygon object at 0x7f066ed70bb0>]\n",
-       "Length: 1, dtype: geometry"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "intersected.geometry.unique()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We have the same (non-empty) geometry 77 times, so this must be the exact geometry of the Tempelhofer Feld.\n",
-    "We can reduce the number of files to download "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f066e247790>"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "deduped = products_gdf.drop_duplicates(subset='beginposition', keep='first')\n",
-    "ax = deduped.plot(alpha=0.05)\n",
-    "tempelhofer_feld.plot(ax=ax, edgecolor='orange')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "This gives you an idea of how much we download that we actually don't need.\n",
-    "To get around this we download the images one after another and subset them as needed."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "! mkdir -p input/tempelhofer_feld"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "uuids = deduped['uuid'].values"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'id': '3318d298-429c-419d-a141-ec4c2f1820db',\n",
-       " 'title': 'S2A_MSIL2A_20191220T101431_N0213_R022_T33UUU_20191220T115219',\n",
-       " 'size': 847344116,\n",
-       " 'md5': 'E52BBFEDD96C6597A4A6BF56735F05A1',\n",
-       " 'date': datetime.datetime(2019, 12, 20, 10, 14, 31, 24000),\n",
-       " 'footprint': 'POLYGON((12.373643777414705 52.23165052768991,12.38257054083412 52.252838389043575,12.444160541342692 52.39846549420357,12.506495380605523 52.54409344872838,12.5694925743077 52.68971130837672,12.632826954776249 52.83538284450448,12.696977442298332 52.980980051610814,12.761605530544704 53.12652180918453,12.805846567368569 53.226592948474405,13.648341514492438 53.24196354764364,13.678544065009483 52.25515074878083,12.373643777414705 52.23165052768991))',\n",
-       " 'url': \"https://scihub.copernicus.eu/apihub/odata/v1/Products('3318d298-429c-419d-a141-ec4c2f1820db')/$value\",\n",
-       " 'Online': True,\n",
-       " 'Creation Date': datetime.datetime(2019, 12, 20, 18, 16, 6, 778000),\n",
-       " 'Ingestion Date': datetime.datetime(2019, 12, 20, 18, 15, 27, 995000),\n",
-       " 'path': './input/tempelhofer_feld/S2A_MSIL2A_20191220T101431_N0213_R022_T33UUU_20191220T115219.zip',\n",
-       " 'downloaded_bytes': 0}"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "downloaded = api.download(uuids[0], directory_path='./input/tempelhofer_feld')\n",
-    "downloaded"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "For the NDVI we only need bands 4 and 8."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 161,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "b04_path, b08_path = sentinel_helpers.band_paths(downloaded['path'], ['B04', 'B08'], '10m')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "**TODO** I placed the `RasterReaderList` into `sentinel_helpers.py` at this point but I couldn't figure out how to make it work."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "**TODO** We need to do three things:\n",
-    "\n",
-    "- Reproject the image into our target geometry\n",
-    "- Create a subset, where [this content on the rasterio homepage](https://rasterio.readthedocs.io/en/latest/topics/masking-by-shapefile.html) may help\n",
-    "- Make sure to mask clouds or keep the cloud mask somewhere"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "! mkdir -p './input/tempelhofer_feld/subset/'"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 124,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from pathlib import Path\n",
-    "import math\n",
-    "\n",
-    "import rasterio as r\n",
-    "import rasterio.mask\n",
-    "from rasterio.windows import Window\n",
-    "from rasterio.warp import calculate_default_transform, reproject, Resampling\n",
-    "from rasterio.plot import show\n",
-    "import numpy as np\n",
-    "\n",
-    "import shapely.geometry"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The finally helpful tip for clipping came from [this website](https://automating-gis-processes.github.io/CSC/notebooks/L5/clipping-raster.html)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 172,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "with r.open(b04_path, 'r') as b04, r.open(b08_path, 'r') as b08:\n",
-    "    # we want to only write the bare minimum data necessary to disk\n",
-    "    out_meta = b04.meta.copy()\n",
-    "    \n",
-    "    # we reproject the geojson file we fetched above and convert it so that rasterio\n",
-    "    # can use it as a mask\n",
-    "    mask = shapely.geometry.mapping(tempelhofer_feld.to_crs(out_meta['crs']).iloc[0].geometry)\n",
-    "    \n",
-    "    # update the dimensions and save as geotiff, not jp2\n",
-    "    out_meta['width'] = maxx - minx\n",
-    "    out_meta['height'] = maxy - miny\n",
-    "    out_meta['driver'] = 'GTiff'\n",
-    "    out_meta['dtype'] = 'float32'\n",
-    "    \n",
-    "    out_name = Path(b04_path).name.replace('B04', 'NDVI').replace('.jp2', '.tiff')\n",
-    "    \n",
-    "    with r.open(str(Path('./input/tempelhofer_feld/subset/') / out_name), 'w+', **out_meta) as dst:\n",
-    "        # we take only the part out of our source raster that we actually need\n",
-    "        # crop=True clips off the borders\n",
-    "        b04, transform_b04 = rasterio.mask.mask(b04, shapes=[mask], crop=True)\n",
-    "        b08, _ = rasterio.mask.mask(b08, shapes=[mask], crop=True) # we ignore the returned transform because it's identical to the previous one\n",
-    "        \n",
-    "        # transform and clip our bands to the allowed region\n",
-    "        b04 = b04.astype('f4') # <- f4 = float32\n",
-    "        b08 = b08.astype('f4')\n",
-    "        \n",
-    "        # uncomment the following line to see if your masked shape looks correct\n",
-    "        show(b04, transform=transform_b04)\n",
-    "        show(b08, transform=transform_b04)\n",
-    "        \n",
-    "        # we want to be able to ignore divide by zero errors so the formula is nicer to write\n",
-    "        np.seterr(divide='ignore', invalid='ignore')\n",
-    "        ndvi = (b08 - b04) / (b08 + b04)\n",
-    "       \n",
-    "        # uncomment the following line to see if we calculated the index correctly\n",
-    "        show(ndvi, transform=transform_b04)\n",
-    "        \n",
-    "        dst.write(ndvi)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 85,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "target_crs = 'EPSG:25833'"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# **TODO** Plot bands separately\n",
-    "\n",
-    "``` python\n",
-    "with r.open(band_paths(downloaded[0]['path'], ['TCI'], '20m')[0]) as true_color:\n",
-    "    # we do not need\n",
-    "    fig, (axr, axg, axb) = plt.subplots(1,3, figsize=(21,7))\n",
-    "    plot.show((true_color, 1), ax=axr, cmap='Reds', title='red channel')\n",
-    "    plot.show((true_color, 2), ax=axg, cmap='Greens', title='green channel')\n",
-    "    plot.show((true_color, 3), ax=axb, cmap='Blues', title='blue channel')\n",
-    "    plt.show()\n",
-    "```"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.6"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/true-color-image/02a NDVI.ipynb b/true-color-image/02a NDVI.ipynb
new file mode 100644
index 0000000..58d1465
--- /dev/null
+++ b/true-color-image/02a NDVI.ipynb	
@@ -0,0 +1,2555 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import folium\n",
+    "import sentinel_helpers\n",
+    "from pathlib import Path"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's search for a more detailed geometry this time that would be hard to find outside of OpenStreetMap:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "tempelhofer_feld = sentinel_helpers.search_osm('Tempelhofer Feld, Berlin, Germany').iloc[:1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# there's a warning about this being in WGS84 which we can ignore\n",
+    "bbox = tempelhofer_feld.bounds.values[0]\n",
+    "minx, miny, maxx, maxy = bbox"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Is the area we have the area we want?\n",
+    "\n",
+    "We introduce the `folium` library which lets us plot an OpenStreetMap-based map in the background.\n",
+    "This enables us a better preview of our shape, because it allows us to surrounding features such as streets or parks."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "<ipython-input-4-f4e19cec1aaf>:1: UserWarning: Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n",
+      "\n",
+      "  centroid = tempelhofer_feld['geometry'].centroid # <- this generates a warning about using a geographic CRS which we can ignore\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe src=\"about:blank\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" 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onload=\"this.contentDocument.open();this.contentDocument.write(    decodeURIComponent(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
+      ],
+      "text/plain": [
+       "<folium.folium.Map at 0x7f6c145175e0>"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "centroid = tempelhofer_feld['geometry'].centroid # <- this generates a warning about using a geographic CRS which we can ignore\n",
+    "m = folium.Map([centroid.y, centroid.x], tiles='cartodbpositron')\n",
+    "folium.GeoJson(tempelhofer_feld.to_json()).add_to(m)\n",
+    "m.fit_bounds([[miny, minx], [maxy, maxx]])\n",
+    "m"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "base_path = Path('input/tempelhofer_feld')\n",
+    "! mkdir -p {base_path}\n",
+    "tempelhofer_feld.to_file(base_path / 'tempelhofer_feld.geojson', driver='GeoJSON')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's search for all images that give us a reasonably clear view of the Tempelhofer Feld in 2019."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from datetime import date\n",
+    "from sentinelsat import SentinelAPI\n",
+    "from shapely.geometry import box\n",
+    "from tqdm.notebook import tqdm\n",
+    "import os"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "api = SentinelAPI(os.getenv('SCIHUB_USERNAME'), os.getenv('SCIHUB_PASSWORD'))\n",
+    "api._tqdm = tqdm # monkey-patch for nicer progress bars"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "footprint = box(*bbox).wkt\n",
+    "products = api.query(footprint,\n",
+    "                     platformname='Sentinel-2',\n",
+    "                     processinglevel='Level-2A',\n",
+    "                     date=(date(2019,1,1), date(2019,12,31)),\n",
+    "                     cloudcoverpercentage=(0,30))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "77"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(products)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We only want the products that *fully contain* the Tempelhofer Feld to avoid merging multiple products where possible.\n",
+    "We can check the footprints (i.e. the geometries) of the returned products to remove the ones that don't"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/conda/lib/python3.8/site-packages/pyproj/crs/crs.py:53: FutureWarning: '+init=<authority>:<code>' syntax is deprecated. '<authority>:<code>' is the preferred initialization method. When making the change, be mindful of axis order changes: https://pyproj4.github.io/pyproj/stable/gotchas.html#axis-order-changes-in-proj-6\n",
+      "  return _prepare_from_string(\" \".join(pjargs))\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
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+       "        vertical-align: top;\n",
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+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>title</th>\n",
+       "      <th>link</th>\n",
+       "      <th>link_alternative</th>\n",
+       "      <th>link_icon</th>\n",
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+       "      <th>endposition</th>\n",
+       "      <th>ingestiondate</th>\n",
+       "      <th>orbitnumber</th>\n",
+       "      <th>...</th>\n",
+       "      <th>processingbaseline</th>\n",
+       "      <th>processinglevel</th>\n",
+       "      <th>producttype</th>\n",
+       "      <th>platformname</th>\n",
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+       "      <th>uuid</th>\n",
+       "      <th>geometry</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>3318d298-429c-419d-a141-ec4c2f1820db</th>\n",
+       "      <td>S2A_MSIL2A_20191220T101431_N0213_R022_T33UUU_2...</td>\n",
+       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
+       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
+       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
+       "      <td>Date: 2019-12-20T10:14:31.024Z, Instrument: MS...</td>\n",
+       "      <td>false</td>\n",
+       "      <td>2019-12-20 10:14:31.024</td>\n",
+       "      <td>2019-12-20 10:14:31.024</td>\n",
+       "      <td>2019-12-20 18:15:27.995</td>\n",
+       "      <td>23471</td>\n",
+       "      <td>...</td>\n",
+       "      <td>02.13</td>\n",
+       "      <td>Level-2A</td>\n",
+       "      <td>S2MSI2A</td>\n",
+       "      <td>Sentinel-2</td>\n",
+       "      <td>808.04 MB</td>\n",
+       "      <td>S2A_MSIL2A_20191220T101431_N0213_R022_T33UUU_2...</td>\n",
+       "      <td>S2A_OPER_MSI_L1C_TL_MTI__20191220T105312_A0234...</td>\n",
+       "      <td>S2A_MSIL2A_20191220T101431_N0213_R022_T33UUU_2...</td>\n",
+       "      <td>3318d298-429c-419d-a141-ec4c2f1820db</td>\n",
+       "      <td>MULTIPOLYGON (((12.37364 52.23165, 13.67854 52...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>b602a256-860c-4254-9f28-96c696b8abdb</th>\n",
+       "      <td>S2A_MSIL2A_20191220T101431_N0213_R022_T32UQD_2...</td>\n",
+       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
+       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
+       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
+       "      <td>Date: 2019-12-20T10:14:31.024Z, Instrument: MS...</td>\n",
+       "      <td>false</td>\n",
+       "      <td>2019-12-20 10:14:31.024</td>\n",
+       "      <td>2019-12-20 10:14:31.024</td>\n",
+       "      <td>2019-12-20 18:13:54.812</td>\n",
+       "      <td>23471</td>\n",
+       "      <td>...</td>\n",
+       "      <td>02.13</td>\n",
+       "      <td>Level-2A</td>\n",
+       "      <td>S2MSI2A</td>\n",
+       "      <td>Sentinel-2</td>\n",
+       "      <td>758.00 MB</td>\n",
+       "      <td>S2A_MSIL2A_20191220T101431_N0213_R022_T32UQD_2...</td>\n",
+       "      <td>S2A_OPER_MSI_L1C_TL_MTI__20191220T105312_A0234...</td>\n",
+       "      <td>S2A_MSIL2A_20191220T101431_N0213_R022_T32UQD_2...</td>\n",
+       "      <td>b602a256-860c-4254-9f28-96c696b8abdb</td>\n",
+       "      <td>MULTIPOLYGON (((13.53103 52.17548, 13.63418 53...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2b3f3844-5865-4954-b300-575aa09459d5</th>\n",
+       "      <td>S2A_MSIL2A_20191213T102421_N0213_R065_T33UUU_2...</td>\n",
+       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
+       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
+       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
+       "      <td>Date: 2019-12-13T10:24:21.024Z, Instrument: MS...</td>\n",
+       "      <td>false</td>\n",
+       "      <td>2019-12-13 10:24:21.024</td>\n",
+       "      <td>2019-12-13 10:24:21.024</td>\n",
+       "      <td>2019-12-13 17:58:46.300</td>\n",
+       "      <td>23371</td>\n",
+       "      <td>...</td>\n",
+       "      <td>02.13</td>\n",
+       "      <td>Level-2A</td>\n",
+       "      <td>S2MSI2A</td>\n",
+       "      <td>Sentinel-2</td>\n",
+       "      <td>1.05 GB</td>\n",
+       "      <td>S2A_MSIL2A_20191213T102421_N0213_R065_T33UUU_2...</td>\n",
+       "      <td>S2A_OPER_MSI_L1C_TL_MTI__20191213T110225_A0233...</td>\n",
+       "      <td>S2A_MSIL2A_20191213T102421_N0213_R065_T33UUU_2...</td>\n",
+       "      <td>2b3f3844-5865-4954-b300-575aa09459d5</td>\n",
+       "      <td>MULTIPOLYGON (((12.07160 52.22621, 13.67854 52...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ecf4ff24-3f5c-40c8-b2b9-191f5adf77be</th>\n",
+       "      <td>S2A_MSIL2A_20191213T102421_N0213_R065_T32UQD_2...</td>\n",
+       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
+       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
+       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
+       "      <td>Date: 2019-12-13T10:24:21.024Z, Instrument: MS...</td>\n",
+       "      <td>false</td>\n",
+       "      <td>2019-12-13 10:24:21.024</td>\n",
+       "      <td>2019-12-13 10:24:21.024</td>\n",
+       "      <td>2019-12-13 17:57:52.211</td>\n",
+       "      <td>23371</td>\n",
+       "      <td>...</td>\n",
+       "      <td>02.13</td>\n",
+       "      <td>Level-2A</td>\n",
+       "      <td>S2MSI2A</td>\n",
+       "      <td>Sentinel-2</td>\n",
+       "      <td>1.05 GB</td>\n",
+       "      <td>S2A_MSIL2A_20191213T102421_N0213_R065_T32UQD_2...</td>\n",
+       "      <td>S2A_OPER_MSI_L1C_TL_MTI__20191213T110225_A0233...</td>\n",
+       "      <td>S2A_MSIL2A_20191213T102421_N0213_R065_T32UQD_2...</td>\n",
+       "      <td>ecf4ff24-3f5c-40c8-b2b9-191f5adf77be</td>\n",
+       "      <td>MULTIPOLYGON (((13.53103 52.17548, 13.63418 53...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>b9903874-93ef-4520-bf49-951e810484f3</th>\n",
+       "      <td>S2A_MSIL2A_20191210T101411_N0213_R022_T33UUU_2...</td>\n",
+       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
+       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
+       "      <td>https://scihub.copernicus.eu/apihub/odata/v1/P...</td>\n",
+       "      <td>Date: 2019-12-10T10:14:11.024Z, Instrument: MS...</td>\n",
+       "      <td>false</td>\n",
+       "      <td>2019-12-10 10:14:11.024</td>\n",
+       "      <td>2019-12-10 10:14:11.024</td>\n",
+       "      <td>2019-12-10 17:49:27.699</td>\n",
+       "      <td>23328</td>\n",
+       "      <td>...</td>\n",
+       "      <td>02.13</td>\n",
+       "      <td>Level-2A</td>\n",
+       "      <td>S2MSI2A</td>\n",
+       "      <td>Sentinel-2</td>\n",
+       "      <td>818.15 MB</td>\n",
+       "      <td>S2A_MSIL2A_20191210T101411_N0213_R022_T33UUU_2...</td>\n",
+       "      <td>S2A_OPER_MSI_L1C_TL_MTI__20191210T104357_A0233...</td>\n",
+       "      <td>S2A_MSIL2A_20191210T101411_N0213_R022_T33UUU_2...</td>\n",
+       "      <td>b9903874-93ef-4520-bf49-951e810484f3</td>\n",
+       "      <td>MULTIPOLYGON (((12.36269 52.23145, 13.67854 52...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 36 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                                                  title  \\\n",
+       "3318d298-429c-419d-a141-ec4c2f1820db  S2A_MSIL2A_20191220T101431_N0213_R022_T33UUU_2...   \n",
+       "b602a256-860c-4254-9f28-96c696b8abdb  S2A_MSIL2A_20191220T101431_N0213_R022_T32UQD_2...   \n",
+       "2b3f3844-5865-4954-b300-575aa09459d5  S2A_MSIL2A_20191213T102421_N0213_R065_T33UUU_2...   \n",
+       "ecf4ff24-3f5c-40c8-b2b9-191f5adf77be  S2A_MSIL2A_20191213T102421_N0213_R065_T32UQD_2...   \n",
+       "b9903874-93ef-4520-bf49-951e810484f3  S2A_MSIL2A_20191210T101411_N0213_R022_T33UUU_2...   \n",
+       "\n",
+       "                                                                                   link  \\\n",
+       "3318d298-429c-419d-a141-ec4c2f1820db  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
+       "b602a256-860c-4254-9f28-96c696b8abdb  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
+       "2b3f3844-5865-4954-b300-575aa09459d5  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
+       "ecf4ff24-3f5c-40c8-b2b9-191f5adf77be  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
+       "b9903874-93ef-4520-bf49-951e810484f3  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
+       "\n",
+       "                                                                       link_alternative  \\\n",
+       "3318d298-429c-419d-a141-ec4c2f1820db  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
+       "b602a256-860c-4254-9f28-96c696b8abdb  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
+       "2b3f3844-5865-4954-b300-575aa09459d5  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
+       "ecf4ff24-3f5c-40c8-b2b9-191f5adf77be  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
+       "b9903874-93ef-4520-bf49-951e810484f3  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
+       "\n",
+       "                                                                              link_icon  \\\n",
+       "3318d298-429c-419d-a141-ec4c2f1820db  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
+       "b602a256-860c-4254-9f28-96c696b8abdb  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
+       "2b3f3844-5865-4954-b300-575aa09459d5  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
+       "ecf4ff24-3f5c-40c8-b2b9-191f5adf77be  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
+       "b9903874-93ef-4520-bf49-951e810484f3  https://scihub.copernicus.eu/apihub/odata/v1/P...   \n",
+       "\n",
+       "                                                                                summary  \\\n",
+       "3318d298-429c-419d-a141-ec4c2f1820db  Date: 2019-12-20T10:14:31.024Z, Instrument: MS...   \n",
+       "b602a256-860c-4254-9f28-96c696b8abdb  Date: 2019-12-20T10:14:31.024Z, Instrument: MS...   \n",
+       "2b3f3844-5865-4954-b300-575aa09459d5  Date: 2019-12-13T10:24:21.024Z, Instrument: MS...   \n",
+       "ecf4ff24-3f5c-40c8-b2b9-191f5adf77be  Date: 2019-12-13T10:24:21.024Z, Instrument: MS...   \n",
+       "b9903874-93ef-4520-bf49-951e810484f3  Date: 2019-12-10T10:14:11.024Z, Instrument: MS...   \n",
+       "\n",
+       "                                     ondemand           beginposition  \\\n",
+       "3318d298-429c-419d-a141-ec4c2f1820db    false 2019-12-20 10:14:31.024   \n",
+       "b602a256-860c-4254-9f28-96c696b8abdb    false 2019-12-20 10:14:31.024   \n",
+       "2b3f3844-5865-4954-b300-575aa09459d5    false 2019-12-13 10:24:21.024   \n",
+       "ecf4ff24-3f5c-40c8-b2b9-191f5adf77be    false 2019-12-13 10:24:21.024   \n",
+       "b9903874-93ef-4520-bf49-951e810484f3    false 2019-12-10 10:14:11.024   \n",
+       "\n",
+       "                                                 endposition  \\\n",
+       "3318d298-429c-419d-a141-ec4c2f1820db 2019-12-20 10:14:31.024   \n",
+       "b602a256-860c-4254-9f28-96c696b8abdb 2019-12-20 10:14:31.024   \n",
+       "2b3f3844-5865-4954-b300-575aa09459d5 2019-12-13 10:24:21.024   \n",
+       "ecf4ff24-3f5c-40c8-b2b9-191f5adf77be 2019-12-13 10:24:21.024   \n",
+       "b9903874-93ef-4520-bf49-951e810484f3 2019-12-10 10:14:11.024   \n",
+       "\n",
+       "                                               ingestiondate  orbitnumber  \\\n",
+       "3318d298-429c-419d-a141-ec4c2f1820db 2019-12-20 18:15:27.995        23471   \n",
+       "b602a256-860c-4254-9f28-96c696b8abdb 2019-12-20 18:13:54.812        23471   \n",
+       "2b3f3844-5865-4954-b300-575aa09459d5 2019-12-13 17:58:46.300        23371   \n",
+       "ecf4ff24-3f5c-40c8-b2b9-191f5adf77be 2019-12-13 17:57:52.211        23371   \n",
+       "b9903874-93ef-4520-bf49-951e810484f3 2019-12-10 17:49:27.699        23328   \n",
+       "\n",
+       "                                      ...  processingbaseline  \\\n",
+       "3318d298-429c-419d-a141-ec4c2f1820db  ...               02.13   \n",
+       "b602a256-860c-4254-9f28-96c696b8abdb  ...               02.13   \n",
+       "2b3f3844-5865-4954-b300-575aa09459d5  ...               02.13   \n",
+       "ecf4ff24-3f5c-40c8-b2b9-191f5adf77be  ...               02.13   \n",
+       "b9903874-93ef-4520-bf49-951e810484f3  ...               02.13   \n",
+       "\n",
+       "                                      processinglevel  producttype  \\\n",
+       "3318d298-429c-419d-a141-ec4c2f1820db         Level-2A      S2MSI2A   \n",
+       "b602a256-860c-4254-9f28-96c696b8abdb         Level-2A      S2MSI2A   \n",
+       "2b3f3844-5865-4954-b300-575aa09459d5         Level-2A      S2MSI2A   \n",
+       "ecf4ff24-3f5c-40c8-b2b9-191f5adf77be         Level-2A      S2MSI2A   \n",
+       "b9903874-93ef-4520-bf49-951e810484f3         Level-2A      S2MSI2A   \n",
+       "\n",
+       "                                      platformname       size  \\\n",
+       "3318d298-429c-419d-a141-ec4c2f1820db    Sentinel-2  808.04 MB   \n",
+       "b602a256-860c-4254-9f28-96c696b8abdb    Sentinel-2  758.00 MB   \n",
+       "2b3f3844-5865-4954-b300-575aa09459d5    Sentinel-2    1.05 GB   \n",
+       "ecf4ff24-3f5c-40c8-b2b9-191f5adf77be    Sentinel-2    1.05 GB   \n",
+       "b9903874-93ef-4520-bf49-951e810484f3    Sentinel-2  818.15 MB   \n",
+       "\n",
+       "                                                                               filename  \\\n",
+       "3318d298-429c-419d-a141-ec4c2f1820db  S2A_MSIL2A_20191220T101431_N0213_R022_T33UUU_2...   \n",
+       "b602a256-860c-4254-9f28-96c696b8abdb  S2A_MSIL2A_20191220T101431_N0213_R022_T32UQD_2...   \n",
+       "2b3f3844-5865-4954-b300-575aa09459d5  S2A_MSIL2A_20191213T102421_N0213_R065_T33UUU_2...   \n",
+       "ecf4ff24-3f5c-40c8-b2b9-191f5adf77be  S2A_MSIL2A_20191213T102421_N0213_R065_T32UQD_2...   \n",
+       "b9903874-93ef-4520-bf49-951e810484f3  S2A_MSIL2A_20191210T101411_N0213_R022_T33UUU_2...   \n",
+       "\n",
+       "                                                                   level1cpdiidentifier  \\\n",
+       "3318d298-429c-419d-a141-ec4c2f1820db  S2A_OPER_MSI_L1C_TL_MTI__20191220T105312_A0234...   \n",
+       "b602a256-860c-4254-9f28-96c696b8abdb  S2A_OPER_MSI_L1C_TL_MTI__20191220T105312_A0234...   \n",
+       "2b3f3844-5865-4954-b300-575aa09459d5  S2A_OPER_MSI_L1C_TL_MTI__20191213T110225_A0233...   \n",
+       "ecf4ff24-3f5c-40c8-b2b9-191f5adf77be  S2A_OPER_MSI_L1C_TL_MTI__20191213T110225_A0233...   \n",
+       "b9903874-93ef-4520-bf49-951e810484f3  S2A_OPER_MSI_L1C_TL_MTI__20191210T104357_A0233...   \n",
+       "\n",
+       "                                                                             identifier  \\\n",
+       "3318d298-429c-419d-a141-ec4c2f1820db  S2A_MSIL2A_20191220T101431_N0213_R022_T33UUU_2...   \n",
+       "b602a256-860c-4254-9f28-96c696b8abdb  S2A_MSIL2A_20191220T101431_N0213_R022_T32UQD_2...   \n",
+       "2b3f3844-5865-4954-b300-575aa09459d5  S2A_MSIL2A_20191213T102421_N0213_R065_T33UUU_2...   \n",
+       "ecf4ff24-3f5c-40c8-b2b9-191f5adf77be  S2A_MSIL2A_20191213T102421_N0213_R065_T32UQD_2...   \n",
+       "b9903874-93ef-4520-bf49-951e810484f3  S2A_MSIL2A_20191210T101411_N0213_R022_T33UUU_2...   \n",
+       "\n",
+       "                                                                      uuid  \\\n",
+       "3318d298-429c-419d-a141-ec4c2f1820db  3318d298-429c-419d-a141-ec4c2f1820db   \n",
+       "b602a256-860c-4254-9f28-96c696b8abdb  b602a256-860c-4254-9f28-96c696b8abdb   \n",
+       "2b3f3844-5865-4954-b300-575aa09459d5  2b3f3844-5865-4954-b300-575aa09459d5   \n",
+       "ecf4ff24-3f5c-40c8-b2b9-191f5adf77be  ecf4ff24-3f5c-40c8-b2b9-191f5adf77be   \n",
+       "b9903874-93ef-4520-bf49-951e810484f3  b9903874-93ef-4520-bf49-951e810484f3   \n",
+       "\n",
+       "                                                                               geometry  \n",
+       "3318d298-429c-419d-a141-ec4c2f1820db  MULTIPOLYGON (((12.37364 52.23165, 13.67854 52...  \n",
+       "b602a256-860c-4254-9f28-96c696b8abdb  MULTIPOLYGON (((13.53103 52.17548, 13.63418 53...  \n",
+       "2b3f3844-5865-4954-b300-575aa09459d5  MULTIPOLYGON (((12.07160 52.22621, 13.67854 52...  \n",
+       "ecf4ff24-3f5c-40c8-b2b9-191f5adf77be  MULTIPOLYGON (((13.53103 52.17548, 13.63418 53...  \n",
+       "b9903874-93ef-4520-bf49-951e810484f3  MULTIPOLYGON (((12.36269 52.23145, 13.67854 52...  \n",
+       "\n",
+       "[5 rows x 36 columns]"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "products_gdf = api.to_geodataframe(products)\n",
+    "products_gdf.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import geopandas as gpd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "77"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "intersected = gpd.overlay(products_gdf.to_crs('EPSG:4326'), tempelhofer_feld.to_crs('EPSG:4326'), how='intersection')\n",
+    "len(intersected)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<GeometryArray>\n",
+       "[<shapely.geometry.polygon.Polygon object at 0x7f6bcdb32e50>]\n",
+       "Length: 1, dtype: geometry"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "intersected.geometry.unique()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We have the same (non-empty) geometry 77 times, so this must be the exact geometry of the Tempelhofer Feld.\n",
+    "We can reduce the number of files to download by keeping only the first captured product at any given point in time."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:>"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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1YzScEQUjRRXafrqK0ewJbjDtRuqMKGyX86HLLOR+6IQx6xZ6zSmmHR/IGVEwUrwgxLPQa05RxNC47kc7X1QQZ0ShSFd5FnI/XPFCfAu95hTTjKUADomCkbpKt/3YXKUdY5p+D+CIKBRNBON67ocgSmiHMaEtbTbGwIlWYjkfUtp+kK5P2Cm4hNEoigwf2qGtUxgJ13M/tLwYz1ylnWOasRTAEVGw9yKEcULLi4jMVdo5zKYwQVxOCOOHCV5oodeM8XGilRQ1NLqc+6HV8Qks9JqTFJlJ98LynrsTomCkDjF+aPYEY3ycEIWiNgVXcz+EUcJ6kK5PsKGDe0wzlgI4IgqzTjf0mq1PcI8qXmNOiELRaXlXcz+0vMBCrzlK0ZkHz9YpGL2sdSILveYoVTRQJ0Sh6EjaxdwPQWih11ymiln0Ql8pIudF5GUReVFEzmTHnhSRV0XkJRE5KSLXDrj3WhH5dnbtORH5uyWWf+bphFmUJXOVNkpiGB26R1XvUNWVbP808BFVvQ34MfDEgPu+Djynqr9Amr363MilHUDRRDAu5n643AnTVPNmT3CSor/YIKrBOgVVPaWq3cgOzwM3br1GRN4F3A18M7snUNWfj/qdg5jVsXSSKOt+urR5Vv8NXGfasRSguCgocEpEzorI0ZzzjwLfzTn+QeAS8Nsi8gMReUpEciOoishRETkjImcuXbpUsFjDsbRnIh9bGV7XVdrsCc4ybb8HKC4Kh1X1TuB+4HERubt7QkSOARHwdM59C8CdwH9V1Y8C68Dn875AVY+r6oqqriwvLw9Thx1zPriKn4VyD82e4Cy17Smo6mr29yJwErgLQEQ+BTwAPKKqeb/LN4E3VfWFbP/bpCJRCa4lhLncCfEs9JrTFHWbLjNQ746iICJ7RWR/dxu4F3hFRO4DPgc8qKrtvHtV9S+BN0TkQ9mhjwM/KqXkPeyU86HL7t3ujB+iOGHdjyz0mlE6RZb4HQBOStqNWQBOqOpzIvIasASczs49r6qPicgNwFOqeiS7/18BT4vIIvA68OmyK1EUcWj2IYgSvCixrNKOU4VNYUdRUNXXSacStx6/ZcD1q8CRnv0XgZW8a8uiSM6HLrtknlCbH5al7Qd4YUxoodeMknFiReMsYqHXZoNhvHXyzXrD44QoDDNH70LuhyhOWPMt9NosMIzb9Orqainf6YQozBqdIKETpOsTTBTcpSoLWONFoWgoti4u5H5Y93zCOCGy0GvGBGh+C5lB1vwYL4jMnuA4Vcw8gAOiMGwimKbnfgijhDULvTYTDPtLvRBW871GxVjotdmhqowEjReFYWfpm577oeUFBHFc2F3caC5maByRYQ2NTaftxQRhTGzdBOepwhkKHBCFYWlyQpjUnhASWC/ByOGdkiIONF4UZqmf0Paz0GtmT5gJbPZhSjQ5IcyVIMK30Gszgw0fRmRYf6Cm5n5QhfVO5ipt3YSZYNop6Ls0XhRmhU4Yb4RyN02YDYYdPrwTBeV8bymfUiHDNpGm5n7wgxAvTAhL8oQzjEE0XhRmhcteGsrd1ifUn31za1UXYSwaLwrDNpIm5n6IY6Xtx8SxpYarMwuE/Lvrv8H/+eDD/Mf3f5nl+bfH/LxqaLwozAJ+lNAJbWlz3Xnhln/ML+7/X3xp9V9y2zXn+J0b/+1YnzdsCvq1Tjk2hWaa4nsY9s3ZxNwPnTDEjxJCGzrUntNXPsZvv/0J3o7ezX+++Wsjf06V/dnGi8IscKUd0vEjEhs71JqHzv83vnTga/zg7/wS186v8Y2//qWRP6uqhUvggCgMG+6+abkfuqHcIwvlXnvejP4Gj174Gjcs/BWXovcS0syZrsaLQtGcD03Fj5IsgazZE5qBsBq9f+xPGcXY1/LLCagwc4bGPXtyU1nWlrYX4GtiS5tnjCo9/BsvCsPkfGgiLT/C8yLn62n0U+Uot/GiMAq7ZL7qIhQijBJanoVem0WqcoYCB0RhlBformZoAl6YEIQxkWWVnjlGmX1Y88sJJNB4URiJhsxAtDyfIDZ7gjFdGi0Ko4Zia0ruh3XPQrnPKlUOHwpNSYrIeaBFGugoUtUVEXkS+AQQAH8BfFpVfz7g/nngDHBBVR8oodzOE0YJ66HZE2aVqmIpwHA9hXtU9Q5V7WaQPg18RFVvA34MPLHNvf8aODdiGQcyaszWJuR+aAchgYVyn1lGsSmU9TsZuXWo6ilVjbLd54Eb864TkRuBXwSeGvW7ZpE1PyKILPSaUZy2H+18UQGKioICp0TkrIgczTn/KPDdAff+J+Dfw/ardEXkqIicEZEzly4VC0s7qq21Cbkf1joRfmSu0rNKlUuNi7aOw6p6J3A/8LiI3N09ISLHgAh4eutNIvIAcFFVz+70Bap6XFVXVHVleXm5YLHcxA8T2mFkodyNSigkCqq6mv29CJwE7gIQkU8BDwCPqObGCTsMPJgZKr8F/AMR+e8llBsYffah7rkfOkEayt3sCbPLsLEUYIo2BRHZKyL7u9vAvcArInIf8DngQVVt5xZS9QlVvVFVDwEPA/9bVX+5pLI7m/PhipeGcrfQa7PJqK+sTlhOiygydDkAnJR03nQBOKGqz4nIa8AScDo797yqPiYiNwBPqeqRUko4Aeqc+yFJlI4fEVjotZmlylgKUEAUVPV14Pac47cMuH4VuEoQVPWPgT8euoTbMGzOhybghQlrYWSu0jNM1Wbwqr+/EuqcEMYLQ4IwMSPjDFP15FijRWHUtX51zv3Q8iK8ICax/A7GkHhhOS+SRouCa8Sx0g5iIrMnzDRVW7waLQqjWufrmvvBj9L1CWZPmG2qdIaChouCa7TDdH2C2RNmm6pnHxotCqN2seua+6HVsVDuxug9Ba+kdQqNFgWXiKI0lHtsodxnnirdpqHhojBszocudcz94McJnm+u0kb1NFoUXKLtBQSq5iptmE1hHEZNBFPH3A8tPzZ7gjEWQWTrFJzJhRBGCWuepYYzUqpeb9toURiHOuV+8KI0lLvZEwwYzW26TBotCo50FGj7AUFiodyN6lczQsNFYRx2Vd1H6+FKJzJ7gjE2wajTcVtorCiMGnWpboRRQjuwUO5GStUzD9BgURiXuiSEaYepV2RoqeEM6tEg61CGkRi3o1CX3A9rXkiUJBZ6zQCqj6UADRYFV2j7lhrO2GTc0cOFCxfGLkNjRWFci0Idcj8EUcKaH5k9wdigardpaLAouEAnCG19glE7GisK484+1CH3Q6sTEYS2PsHYpA6zDzWarZ891v0IP46wcIxu0x0SLPS0+O72wvxc37H37Vvk4HX72LuUNs19S5srb/cvpbFF9+1e3Dj2noV0e34e3v0eOHjw4NjlbawojGtTqDr3Q5oaLiaM1fwdJsR2jRE2G2Tvse6s1GKPzWlXz4r4pez8nms2Dy5ll+7r6Xe/9/r3jFTmj3/4AHfc9N6R7i2LxopC0/H8AC+MnQy91mss23gjFmyMsNkgizZGAfZm26M2xrqwe35x54smTGNFYdxEMFXnfrjsp6nhygzlntcY5+c24/hs7apC8cYImw1yqeeNuM+RxlgX9l9TdQmaLAo1stf3elz2+lR0V032NrzuVKgXhKyt+SztEuZzuqpFG+PcnHDde64rpR6GAQ0WhaV54d27d6UxDTN9iJPNwCtxott6US5ft8jfjjaDrXR7Dr2JYrqh4Bd3Q/cl3BvKbdRgLUEUc92eRZbftRu/pMAYhhvsr0GeosaKwr7di+wreG0cxxvLouNs/337FvmFA9eRxJu9jlEFZli8MKYTRURxfXo7Rj3Yv39/1UUoJgoich5okbapSFVXRORJ4BNAAPwF8GlV/fmW+24Cfhd4P5AAx1X166WVviDz8/PM98VUGT3ASp7AdLe7do4E3fBlSHQzwGyiCXGieGGMHyXOxIMwymFxvh6Bf4bpKdyjqm/37J8GnlDVSES+CjwBfG7LPRHwa6r6fRHZD5wVkdOq+qPxil0dZQjMoev38bG/tUyr1QKgFULLA1A6cYjXCfDjtHfiRUoYKjFJKiZhqiR+HG/E5AsccSOfderipDfy8EFVT/XsPg/8k5xr3gLeyrZbInIOOAg0VhTKpNtVLKPDeLXAQCcO8DpBuh0pXpQKihfGG4lD/FDxM1EJosQExigsCgqcEhEFflNVj285/yjwP7b7ABE5BHwUeGHA+aPAUYCbb765YLGMLmUKDKQi0wqzbS8VmCRJCPzIBGZCLDVs+HBYVVdF5H3AaRF5VVW/ByAix0iHCU8PullE9gHPAL+qqlfyrsmE5jjAysqKjbYrZv/+/RMVGACvE9DpikukG+Iyq8OkpV01cHygoCio6mr296KInATuAr4nIp8CHgA+rpq/CkdEdpEKwtOq+p1yim00ibIFBvLtME0XmGt2NaSnICJ7gbnMJrAXuBf4kojcR2pY/Puq2h5wrwDfBM6p6m+UWG5jRnHZDtMYUQAOACfT9s0CcEJVnxOR14Al0uEEwPOq+piI3AA8papHgMPArwAvi8iL2ef9uqo+W3I9DGNo6maHuaYG7vxQQBRU9XXg9pzjtwy4fhU4km3/CfUIZW8YE6fMYVKV1GNi1DCM2mCiYBhGHyYKhmH0YaJgGEYfJgqGYfRhomAYRh8mCoZh9GGiYBhGHyYKhmH0IQP8mCpFRC4BPynho64H3t7xqubiev3A/TpWVb+/qarLeSdqKQplISJnVHWl6nJMCtfrB+7XsY71s+GDYRh9mCgYhtGH66KwNWyca7heP3C/jrWrn9M2BcMwhsf1noJhGENiomAYRh+NFAUR+S0RuSgir/Qce1JEXhWRl0TkpIhcO+De+0Tkz0XkNRH5/NQKPQRj1u+8iLwsIi+KyJmpFXoIBtTvy1ndXhSRU1lYv7x7a//8YOw6VvsMVbVx/wF3A3cCr/QcuxdYyLa/Cnw157550hR3HwQWgT8DPlx1fcqqX3buPHB91XUYoX7v6tn+LPCNpj6/cepYh2fYyJ6Cpjkn3tly7JSqRtnu88CNObfeBbymqq+ragB8C3hoooUdgTHq1wgG1K83H8heIM8C3ojnB2PVsXIaKQoFeBT4bs7xg8AbPftvZseaxqD6wWY2r7NZ1q3GICJfEZE3gEeAL+Rc0vjnV6COUPEzdE4UdshYlRdZupZqPYgCGbkOq+qdwP3A4yJy99QKNyaqekxVbyKt22dyLmn88ytQR6j4GTolCj0Zqx7RbHC2hTeBm3r2bwRWp1G2MihQP7QnmxfQzebVNE4An8w53ujnt4VBdaz8GTojCj0Zqx7UARmrgD8FbhWRD4jIIvAw8PvTKuM4FKmfiOwVkf3dbVLj5Ct519YNEbm1Z/dB4NWcyxr7/KBYHWvxDKu20o5o2f090hT3Ienb418Ar5GON1/M/vtGdu0NwLM99x4BfkxqxT5WdV3KrB+pVf7Psv9+2LD6PUP6438J+APgYFOf3zh1rMMztGXOhmH04czwwTCMcjBRMAyjDxMFwzD6MFEwDKMPEwXDMPowUTAMow8TBcMw+vj/umk0gx43l5MAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "deduped = products_gdf.drop_duplicates(subset='beginposition', keep='first')\n",
+    "ax = deduped.plot(alpha=0.05)\n",
+    "tempelhofer_feld.plot(ax=ax, edgecolor='orange')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "How is the data distributed across the year?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='week'>"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "captured_at = deduped['beginposition'].astype('datetime64')\n",
+    "captured_at.groupby(captured_at.dt.isocalendar().week).count().plot(kind='bar')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We need to download all products in the `deduped` dataframe:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "40"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(deduped)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import logging\n",
+    "logger = logging.getLogger('sentinelsat')\n",
+    "logger.setLevel(logging.INFO)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "7a8ca57202864d5cb6b0f021f84727e5",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(HTML(value='Downloading'), FloatProgress(value=0.0, max=1123098179.0), HTML(value='')))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "111aa039823c47e9aaa8f37d12cf2da2",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(HTML(value='Downloading'), FloatProgress(value=0.0, max=847344116.0), HTML(value='')))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "f60bc265b048498c8da1b3b4b4d06787",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(HTML(value='MD5 checksumming'), FloatProgress(value=0.0, max=1123098179.0), HTML(value='')))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "f90417927a6f4bd5b831698eb97f1cf3",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(HTML(value='Downloading'), FloatProgress(value=0.0, max=857946380.0), HTML(value='')))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "22861101c94a45d7bbde67b09fd0e0a7",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(HTML(value='MD5 checksumming'), FloatProgress(value=0.0, max=847344116.0), HTML(value='')))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "c762ece96e324442873bc9b53404a634",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(HTML(value='Downloading'), FloatProgress(value=0.0, max=840569783.0), HTML(value='')))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "70038f0b16e145d5883663c32aec0ccd",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(HTML(value='MD5 checksumming'), FloatProgress(value=0.0, max=857946380.0), HTML(value='')))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "c06580464e7a4a738f97e6c44728129d",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(HTML(value='Downloading'), FloatProgress(value=0.0, max=840140502.0), HTML(value='')))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "4c41db86d935423492043700c2f6bebf",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(HTML(value='MD5 checksumming'), FloatProgress(value=0.0, max=840140502.0), HTML(value='')))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "c87b6d1fec374ebb9911717538373def",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(HTML(value='Downloading'), FloatProgress(value=0.0, max=1147907682.0), HTML(value='')))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
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+      ]
+     },
+     "metadata": {},
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+     },
+     "metadata": {},
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+     "metadata": {},
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+    {
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+     "metadata": {},
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+    {
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+     ]
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+    {
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+       "HBox(children=(HTML(value='MD5 checksumming'), FloatProgress(value=0.0, max=30211641.0), HTML(value='')))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
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+       "model_id": "bb278a0735b94f7aaa6598dfebb96c4d",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(HTML(value='Downloading'), FloatProgress(value=0.0, max=758033222.0), HTML(value='')))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "059058109be0452b826e702d9e2a5e05",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(HTML(value='MD5 checksumming'), FloatProgress(value=0.0, max=800527096.0), HTML(value='')))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "143b5534783d4ec8a06c8ed70194deec",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(HTML(value='MD5 checksumming'), FloatProgress(value=0.0, max=758033222.0), HTML(value='')))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "downloaded, triggered, failed = api.download_all(deduped['uuid'].values, directory_path=base_path.absolute())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(40, 0, 0)"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(downloaded), len(triggered), len(failed)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "assert len(downloaded) == len(deduped), 'Still waiting for more products.'"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "How is the data distributed across the year?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "For the NDVI we need bands 4 and 8:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "('zip+file:///home/jovyan/true-color-image/input/tempelhofer_feld_next_try/S2A_MSIL2A_20191213T102421_N0213_R065_T33UUU_20191213T120011.zip!/S2A_MSIL2A_20191213T102421_N0213_R065_T33UUU_20191213T120011.SAFE/GRANULE/L2A_T33UUU_A023371_20191213T102424/IMG_DATA/R10m/T33UUU_20191213T102421_B04_10m.jp2',\n",
+       " 'zip+file:///home/jovyan/true-color-image/input/tempelhofer_feld_next_try/S2A_MSIL2A_20191213T102421_N0213_R065_T33UUU_20191213T120011.zip!/S2A_MSIL2A_20191213T102421_N0213_R065_T33UUU_20191213T120011.SAFE/GRANULE/L2A_T33UUU_A023371_20191213T102424/IMG_DATA/R10m/T33UUU_20191213T102421_B08_10m.jp2')"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "b04_path, b08_path = sentinel_helpers.scihub_band_paths(list(downloaded.values())[0]['path'], ['B04', 'B08'], '10m')\n",
+    "b04_path, b08_path"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**TODO** We need to do three things:\n",
+    "\n",
+    "- Reproject the image into our target geometry\n",
+    "- Create a subset, where [this content on the rasterio homepage](https://rasterio.readthedocs.io/en/latest/topics/masking-by-shapefile.html) may help\n",
+    "- Make sure to mask clouds or keep the cloud mask somewhere ← **!!!TBD!!!**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "subset_path = base_path / 'subset'\n",
+    "! mkdir -p {subset_path}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import rasterio as r\n",
+    "import rasterio.mask\n",
+    "import rasterio.plot as rplt\n",
+    "import numpy as np\n",
+    "from sentinel_helpers import scihub_normalize_range"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The finally helpful tip for clipping came from [this website](https://automating-gis-processes.github.io/CSC/notebooks/L5/clipping-raster.html)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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6o80B2q21wyLiku4sf/tk429xYfPsn63CyddJIoWNFI8cWMof+DfzOwvuY0cUkFMNrvXLGJ7jydoyujvK9AYl9hU6aCQOWhn2Tnbwsfqt+Dom7zZ4dO8yZE+GeEEECiQWdB2cKngDLnvDbuDIyc13almG4yLFoM6wY6n3GJ7985XoTMKaX5jENlpOgecic7EAe4EvpvsbOMDnrLV3ici7Aay1HyGdwn5KRDYDArxvasdYRD4P3A50i8gB4A+stZ8A/lJEriKdAu8B3jXjOW8FDlhrZ4qoD3yjKX6aVPw+djo33eLCQYKE9mKVWuhSr7tYK3zv4FqeHl/Ee5d9l9XuCA1rWKgn2SIJo3EOJYbL2vtZ4JVwJWFXrYenx/rYP9JOxo9Q2pD4FjcfYvfm8McEK9DogHBBzJWZvUeM4Ts1zZ6wm0uCg7xu7WbctZZtURcfH3gpjz6ziv2fW8OSN22BC7wE7fnISQWwKUJXztL+kRmP+0ktw9nOf8tx2t92gue8G7jxqLYKsOlk421xcaG05fZF23El4UC9ndhoFgQlVgTDFFWdBGFXFDBpAkpJwM93/JAubcmLS1alFeHKZgt3tvVy98RGHj68jHy2zsRCTVTx8EIwDoRtFr2swlvXP87LM0fu8HapKity2+jTHlmVRpP06AkGe57gifIa7ME2tn/wetb/9mZMtfqCv0Ytjk8rEqTFeU2QCVngTRJITLdbJq/rLHNH6NElljoRXdNOzQ1uyzyJL8d6BeRVwBtzo/xY7j6ivlTc/rO8hP/94OvRoRB2GDKrJrltyU5+q/sh4EhH6cs9Fy3+EW0JNi2buayCfbpAfpdm619fxrq1/Zg/6EZ9/4mz8Gq0OFVa0dotZmX3v1xB1w86yNzTy4HfufnFHs6s7PnTm1jSPs5EnGU4ztPplLkls5NbgxJXeJoulUkrtzV/TpT2yhWNLy55FZBXAW/K9/O719+JvaLEossO8+sbvssvdd87a5TIJyaXsDsqH5NfsKDqvGPjA6x/+U7Ky00anQKMvq9K/Uevn98Xo8Vp0bIAL2LMbVez512WuO4gjsHPRCzvGqXo1fnC4o+xxImJrOW7P7+cL7/2KmKjCI1DbBSNxGGolKcymMM/7IBY4pylfYvQ9Yn7X5Dxh30RS3Pj1BKX9dlDXBPsY43rzEt+v6zy+PH8LjZs+icAljpVerV/TL8f1A0PTqTxxG8qPj5dZS4vPrdlBrg56GdjcJD/r5pnopIh5zZwCwneb42xff3NLPpAK13Wi0lLAC8yBn/lZkrLLdaxOIuqvOfS7+NKwiXBARbqMgWV0K08hk3EqBHalfC63AFuDvZStRqFxSAEkrA/LvJMYzE/GFtDPXFwlOGZFQvZu/wmJBGMa4nzFl0XJIZoWQMRy4pPKpzvPnrG9+JmInr9SV5W2MIKZ4I+7c1rctMOneUWnbq4DCfweEORYKZdXwD2RD0syYyxubSYrZWF/EjHlmk/we5mdpmbZYgfX/oEg2ERX8XsqnTz873f5863jHFP/WYWfKglgi8WLQG8CBh+100YJ51+LX7Tbl7f+yQ5lbplJFZY5o5yrV8lIz4jpoYWoW6F0SQgkBou6e5lIAluM8gisrDUmaSg6ix0JkgQqsbn5o6dTKzJMhkHdLkVut0S22u9NIzDmzsfpG5dfnnyl2i75GbiAKwGMRC2W7DgjaexvFHBsuozgyTP7Tz2hkRovOZaRDV4Sf45XhLU8WX+8vkdjSuaQBSDSYGvjl7NUOeTvCGXVnrb4A2wwRvgn6Jb+MHASobqeXKLG7w2O4EradnNbp3jxwtPsj8uElrNmqADTxJuLmznez+ylvLhG8j/24Nnbfwtjk9LAC9QxPcJb7sco4WNP/csvf4kSixX5fax0BnHlQRjFQnCKneSjGTRomhTqRXVq2OyUqNdOWTEI6uSI6yrA3GZnCggZIU7TK8OCUSYMJYR41MyAQVVpz/ugAxMJBmeqC9nLM7xxhsfpviSOn3eOJ7EKAyvyO4hAu6qrCOQkNuze3h147fpebILHRp0I0Eig1WCGMv+V2iWdU7wkmACX4Ljvg7zRYfOssEb4t+N5sP7Xkaw/Jtc5o2wyU+Fd6j9KYYbeQ6U27lvch3X+vcekWR1tZvHl0k8ERY6JfbH7Xx/ch35oMHA6yJWH7oadd/jZ/0+WhyJzBJKe0FRlE57g7z8xR7GC4rKZomu30DyuyN0BRW6/AoL/UkWuJNcHuxnoa7Q3pzFlYydXrc6Hcqmzo5IWO4kdOhjd1gHkwq+KJ4MMwzFRQACFZJYxXiSpWp8sqpBoCJG4zwlExBITI8zydO1JRyst9NfaWOgVKBa9VFiicoeOIbP3PYxbvRPnrRgPhmIy7x9+1voHy/yY6s284cLHp+29O6tw73lDQC8LL/liKnyFFUT8vVqN5HVbKv38bUDlzI8VER5CWv/rI55eusLdi8XEw/a7zBpR48p0NISwAsIlc0ihTyNS5fi//4A3UGZXr9EZDWXZw9we3YHy5zM9Ad2vtgXl+lUznSSgLmSWMOYqbEtynAobieymqG4yESS7rQOR3k0BiXpe7SWeIyGWforbdzQs4c/6HkIX5wXVAAhFf0rvv1ebEPx3Vf/Dcuc7PQYqibkQBIxbjyu92dfj3w2rFK1DuMmw5fHruFrz16G68d0FKp0vG0ctCYZHGo5Ts8jLQG80FGawXffwOKf2k3RrbMimybj7PMm6HXHeWNudN6Fb4onGo3jWoBnwu6oTIRQNQ774g5GkzxZ1aA/6mAwLNLhVrgj9yxXePqs3dtsRDbh05OL+fLgVewe7eQr13yUlTOs6LGkSn8iXOodP7Hq3TXFv49ex70HV1E+WMRmYzq7SzQil762SdyfrrdiiOeRlgBe4Oz/vZu57NXb2Fg4RFaFVI1Hm67xusJm1rlnVuviZFRN+KJYYjNJrGEgqbI3znIw7iCyDhu8ARbpkMOJS0FFrJhhqc0XX6rk+ds9L+dv1nyBq/xj3WTGkupxvxjuqvr88Y7XMrC9h6Cvwk1L9vDD/SupjwV4Qw5rPrSbeODQvI73YuV4AtjaBLkAeO4fruPHrn2IZf4oAL6KeE1hM1d4AXB2xQ8gIsFF88LZYMeiRbHEybPEAZhotnqAR58Du6OIPXGVknEZNxkmTUDV+AQqYoUzQreO6NOnLpBvyJW5fN1n+Z39P8bP9D7Ij2Ynj7hGh84yEJfpm6Xq3DX+KK9ZtIV/Gr2RDQsO867e77FlrJfJxwsYF1Z/dYSn/uA6/K89fNqvS4sT0xLA85znPnEtr73iKS7PHiBQEQudcW4NQhTeCzaGudbQeDFZ6eZnRGrEGEqkZW5A8Xwo22BS4avl1fzbwCasFda3HeZnOh/gxkAT2YSqDY+539Vunk+t+Dq/0X8bT1Yn+PWuR4/oM5v4TbHMG+aONdv4X73fYpHjs7QwziMLuxEjDDYK/PxffZn/s/pN9P5dy1fwbNAKhTuP2fHPV3PThp30eCXadZVr/P3c5NdwRb+o09FzlZlhca7o6Z+Zr1WXyvCmwm5u6NpDwavTMA6TJmB3VOYrlQ4+P7mGb1aP3dzIKo8/7vs2bU6VPxu6ieeiyknH06UyvDq3l19d8F2WOVkcNMuzo1CMkZ4GD+9azuGojff/ymfZ/ec3zetr0SKltQZ4nrL9727gbbd9H4VlpT/IdcE+VrnuvEZCXMzsi8uMGweNpVcbsuIyYULqFnJKCK1lwmh6tZmO+IDUP/Ke2nJ21Hu5Lb+V2zMnrgyRWIPB4oomsYZ/Li3kY3teAsCh4TbW9A3xmoVPMxgW+fe7bmHl77wwYYYXGq01wAsE8X12//41vO22e7kisx8thku8wyzRF6f4NWx0Vu57mZNn2VFtU+mzACZMDU9SYTwQlzkQZ+jVNRY5Ptf4+3muvpB/HroZteD73HoC7yAt6oi109A63LxgN3urnXQENRqJw8FGB2szh1l5/X5Gfukmuj7eEsH5oiWA5xG6WGTgbZfxc6//Dqv8QZa6IyzUDfr0/Pv2nS/cU8viSUKvLhOIwRUoKH3W1yVnXn/ChOyJunminmWDP0CPjlnmjfDgyAq+MHIDQff3j+sTeDQ51eCq3D4AXEl4enIRHU4VT2KW5MbZ/SOd+JM3kv/CA2flvi42WgJ4nqC7Ohl9zTpe+8v3sT4YILKaFU5Il5p/147TYcLUcNFHWEkvBHdOXMlwI8+yzCgLvDQ2uceZZLEzDoDGkpDOfOrWYb1bo6OZJmu+6HPyrPUOc09lA/uiTjp1laXuCKsKI/TXivzr6A20d983qztSYg0xaZihFsUGb6DZLtw3sR6AXneCtd4h+rMdjPTl2PvWDrIDrdC5+aAlgOcJ8YZlXPtrj/MjhWdQYiiZYDrf3bnAjkjTqUJWvsACWEtctgz38pTpozNbI++lSR6MFRpJ+vZWYunwqwzV8rxn+d28KnuINplfC3GT77HJn6rgELBUTzBa3MZILs8jkyv4xOgt/HrX91lwlKtNw8ZMmJA+J7UQO1XISjdPQe3lS4NX05eZYLE7xiJd5VWFzSzyxvhPrmHLewLW725VnjtT5iSAIrKH1GcgAWJr7bVHHW8DPgMsa17zA9baTzaP/SNpAaNBa+1lM87538AvA1Pu7u+31t7ZLKL+LLCt2f6AtfbdzXM2AZ8iTcl7J/Brs9UFvtBQQUClx2Njrp92VUOJba4rnRviB7BIhwQvghjvKXUxPprHhopKJl1ss0Zwg5hwLMAd08RFQ9fyMXwn5sHSajb5B2k7y0Pt0Fl+ujBGww4SSMSTlaV8fvIKfrZt8xFfXFnlHWE1l2z6kVzn5vjoyi9Rt5Z25ZBXeVYCS53dPJZbzubyUna8Zxmr/09IMjzcCps7Tea0C9wUwGunCh3Ncvz9QJu19n0i0kMqXguttaGI3AqUgU/PIoBla+0HjrrWCuC/Zvadcewh4NeAB0gF8O+stV8/0dgvhF3gsZ+7iXf9ry+ywku/K46uSXExs/6+txNHmq6OMqVqQH3Ch1iBn9Dembqi9BZKvGHhE7TrKmu9w6x3zSnHLZ8pXyi38cPSWvK6wS923H9E6NxM9sVllp3AbxDSjZ8Pj63ngw/dgRPErP2NfpLDg2dj2BcMZ3sX2AIFSUvH5YFRIAaw1t7bFLUzQkT6gKK19v7m358G3gCcUAAvBIwDPc4kGsslXokXIrrjfOFfr/8YG7003f1TYZ09USdaDBpLpy6z3o2nNyyeiyo8UFuO5iDr3PAFXa/8qfwEb8w9yEcnVvBf5Ut5VX7LrGuCJxM/AF9c/kfnLrpvnuQDW1/BwEc76ftfbSTPbj8bQ7+gmasAWuCbImKBf7DWfvSo4x8CvgL0AwXgzdbaEztApfyKiLwdeAT4n9basWb7ShF5nLT46u9Za+8DFgMHZpx7oNl2DCLyTuCdAAHzG6D/QrP3D2/mz3/m0+RUg3ZVY4Fuid9MZsbfXuEFXOGlVdcim7A7DvkfB14FwECtyMbiIRxliKxDQe1g9Qu8XumK5r3t+7m7pnigtpyS6WeTf/pjeHtxmA1XfppffOLn2PPHDos/eDXqnvnZGNn4qMP7F9xDvulitDeOebi+jL/c8ioW//gz8/Ic5wJzFcBbrLX9IrIA+JaIbLXW3jvj+KuAJ4A7gNXNPvdZaydnudYUf09aT9g2f/8V8AvAALDMWjvSXPP7kohcChxjvjbPPbYxFeiPQjoFnuM9npNYxxJIBKTVx85lDsRlIstxp3dng6o50pL76MQiPrj1dqoVH1PXZPZ4WA2N7oToEs3N3bso6Np0ZusXg5cGMQ2/n6dCzRfKbdwYHJyT5TcbmzzN717ydT60+2XseHsnywrXE/zXQ6d1Ld3exk898CxX+ftZ58p0iU+AjZ5HxAFetfxZnvnuYrqDCkM3j5/W85xLzEkAm3V/sdYOisgXgeuBmQL4DuDPmxsSO0RkN7ABOO5/wlp7eOqxiHwM+K9mewNoNB8/KiI7gXWkFt+SGZdYQmpxXrDs+sub+KXXfJtAIgqqjpYX1mI5VRoWQvvCboRklcdDjYj1bsxoknDn4OU0nm0jKAlWMb1PZLWlzavxU22PsNwR/Bm7wFUT8v16Dk8Sbs8Ynglr/PvEJrrdEj+af/a0xel4aFFkxeNqP6JT97M57GZ/XD0mgWpkk2P8O49u06J4XW6AFev+jW/0Xc7IlTnuuvkmVr5/7s7ScvWl7PkdxY+vfZK3FA7iy7FZbSKbsNyxvK3zfr7sXM3hsMi1z4xPH//mm647L6fgJxVAEckBylpbaj5+JfBHR3XbB7wcuE9EeoH1wC5OgIj0WWsHmn++EXi62d4DjFprExFZBawFdllrR0WkJCI3Ag8Cbwc+ONcbPR8xi+pcndlDQdVZ785lReHFZSjJULcuG3lhxlo2deo24Y/2vonXLXiKdl2lEnvEubRCXXZpCaUMlXKAGEGJpU0l5NXzgrYvLvOvk1cyGBZ5ZqKPPX2PUEoyfGtgA3mvQW5Rg/+W231Wlh58cVnuAIxwX3U1e6KItxZGpo8fLX4DcZkHGwu5xj90hCjnVcDVfsQS5yEaFta/4RB/47+W1f/zxM7SI790E6O3NnC8mM9f93Eu8+S4UTWuaPL4bPQS3LZHubN8Gb/esWf6+EMfX8n9265l1WfsvBS8eqGYiwXYC3wx3d/AAT5nrb1LRN4NYK39COkU9lMispl0qvq+qR1jEfk8cDvQLSIHgD+w1n4C+EsRuYp0GrsHeFfz+W4F/khEYlK3m3dba0ebx97D824wX+cC3gDp/82bec36RymqOu0qPOJDe64SogmthlMUwKnM0P2JZqk2x+TPa9iIbVHCfdW1aAzvbk9931zRbIsU2w/38Jn6DSzIlugfL4JYbD7hst4BDpTa0WKZGMvx9KE+/jb7UhZ4kzSMi6/SpYW9tW7WZA9zOCjQrqtc4h9kuC+PwjKeZOmPHRacpUCbKRGsBnt5qrGY79T0cXf5E2A8yXJXZR3vKO4/QiB9cVniuEyYGtdlduEuO34yhgPvv5nqqpDXXvkYb+m6n4NxBz06xJf89GtdkPiITNcwFban2OBqVH4zzFhf/+cV3+Gfu57hgz23M/qm65FIEQwplv7JuZ3F5qQCaK3dBVw5S/tHZjzuJ7UMZzv/Lcdpf9tx2v8D+I/jHHsEOMY95kKk+1UHeUvX/fToGt36/Ahzy0lIJJqyqZ+Sm0nNhnxm8lKerfSxJjvIDdmd5CQkQYispm4DtjYWcc/oOhx5XgAVikfrS7EWxioZqqFLvdZcJoiFzYf6qE4GeNkIW9PUyzn+s3YV1gg2UbR3lbljyXNcnd/LjZnddOoyl3iHWefmWNTxIAbYH2dpUxFw7LRwvvDF5XLPkFV7eaKxiEcbQ1zlHZtgtlN5XO4f4NH6CvbFtVlruQSSfqR7imXqrztyPfDQb9yMiuDnf+YbvLf9WbLKo2ETenQ/jzUWUreHWTSH95oWxUYve0zbSzO7eNWVu0iuhJJRPFhfwV/Km5AElvzZuSmErUiQc5DoRzaxqrANVxLalJwX+fYA2lXIUFLgydDjlhPo39TU1QAVY9kWdfFPO26kUvN4LL+U53oW0utPosUQGY2rEnyJubQwgCvJdAbqA3GNJ8rLyAQRHdkasVGUnYQom4BAY1cR5VgiZUHSDSV12MetCpIIEzpLZnnU3BRJd4d/WFvJaufQdEW3ZQ6knl0pM0PX5hMtinVujoIc5J7aUjrV/mMssKzyuMJL6FTPMWFmf35fXNa7Nf6fFXfz+z/zYyyrbqLRkX7MP/arf8tQUuAGf2R6g8NBE4hlJM6zSyKW6BJXeKe31ny0IG/0Bvn59/xfyqbOf3vmVwnzivZ/fxzbaJzW9c8GLQE8B+n8g738ZPfD5CTGPUdC3eZCp1IcjDp4YPJaFi78Bn3aQ4tQMiFVa0ksaIFdUZHBpEDV+Oyo9/LwyHImxnL4uZCubIWhep5ef5K8rpN1Q3KqwSJnjNXuGJ1KcTgxuBLycCP1gurMVenLTjJUz6OUxcnGFAtVRk0bOheRzzaIcpqMHzI6VCTJK1RNYY1w7+E1fM+u5equg2ybXMDBsTb+2w3/QJvySKydTvXfsBFVE1GxhqoV1rlnZ0e+z8nzk/kR/qW8HJ3Ze0yiC1f0SXfZ21SGK/2D3LpqBwO/X+RPl3+VBGkmZKgDuenksA0bA3BzZheLHCF7Fr5sM+Lxc3/+FX6x7RCv/e6rz6k0/y0BPMfQvQtYnh1muTPGcsd5wZMLnAkdOsuBsJNvP3Ypjyxayvs2fIOl7ghfm7iJx8aWUo9din6ddq9Kj1dGiWWg3kYjcci3V3nF0m28ou0ZttQXc0fuWXp1ukaXnc7ukn7wXanzn+XUIeDlbVuoJS5D9TyN2KGjUKXNr9MdVHgichGxXLtwPw3joMQwnC9jrDBSzVGq+vQPt5PUNcMTecJJHyx8cvwqrs7soW5drvIHaVOa3ZHiicYKAolo11XWuWfPitGiWOsd4q7KOl6Rfe4YS3AubPSy/MXib/Dh0eu4zpdjzi/bBsZassqd3lBp2OiUly/mghbFpmAvZ3MZ4XRpCeA5xs3f2sf12Z0s1JxX4jeFKwmqrqg90cnvTr6BjUsPUQ59hko5FrVPYqyQ0RE3FHbyiswASoTv19MiRm/IlQF4dXYX6Ydl9g+MLy77wm6eLi2iGnt0+RWUWNqDGnd0b+Udbc8SWcNH8pv49qEN/FjXY9yRGWVbpBhJcoybLA+WVvPMRB+D5TxjjQJh1UVVNBLDZ3dey125S+jNlni2uJ+8rgOw1B1hrTvMrrjzrL+O1/su1/v9/KCeBaqn5VvZrXP8XvfTPBfV6dL2iJ3so5dVyqbOxyc28LVDl/OtjV890+Efw2wFo84FWgJ4jqGwjJssSk7kQ37u0utOYNojbMXDVFy27FmEE0Qs7CixvjhILXFZGoyxzh2c3u19bbY+67UimzCc1OhPPEaSHBGadlXlHw6/jCcOL8bVCas7RvjjRV+fXrNLyZBYw7s7HuWm3PbmrmrAJh8gYjDp57l6H0WvTrY9pFz1CYKIss5gJ1wCN6bgNShHPg+OraDDq7EyO8xqb5CcMs0C77OPeSaJNYyYM4veuSVQPBcJz0WV067utzfu4OMjl/KXCx85whK8u6bYXF/KJcEB2pXih2OrGamc35FTp0pLAM8VRCjc28VlmR/iSYKeNfDl3KddV+nuKVEpeCwvphadVoa+7CRKDJfm+48p1RnZhEcbcGPw/FpX1YT8V7WH0TiPKwmupGtV+00XAGs6h/ntJXexyQdXjrWORkyNf5q4gt/q3HnMsUOJZizK4ojh0rYBrmw7yFicpRQFbB7pY1lxjA6vlk6VGzkqiYdq5hW8u7qC3Y0eBpNjfQPHkiquqOkppBY1L/6Di7RmVwwPNaI5J1adQovi1dkGr8g8L34H4jLfra7gS4NX89SBxZgRH6stL716K392yZdOeXz/US6yo9HLW9oeP6HT+F1Vn8889J/89E+8Cx7afMrPczZoCeA5xFVtB8ipBld6k2TmOV/dC8U1fj8/tuwp7htaw8fW/gsFUXxy4jKGozyrg0H+W24HC2apk5tVEcxIDp9VHlf5/USeokcb2prLAYm13JjZRd06s65tTeEiFFSd/ygX+Yn889b0QFxmoRbe3Pkg36+sZ0+9i8X+OKUooNsv8zMrHmY4KhCoCF9FPJ4sY6SeY6vqpdMps8gd44rMfvzm81ZNyKgJqVphe9TVTFgxMq/RI3kVcKlrqNmQwSQ8LVGdep0+PL4UVxJuz27n9hV7+GD+pfzHU9egXcP28R6+n1nHIudhFupkzvkmHyiv5te676PvOPWPp9jeWMiV3ghijxPD+iLQEsBzAFUoMPz5Pq7I/Bc5CSko75xJdHqqFJTQpmuM1rLsj7OUTIa6cVmXOcR1wV46tX/Mvbmij4h0ubcOa50yS7SHKxrFDKETuNRLMBi0uOyLy5SMJkEoSEyPdsirAF8cVnjDPFlbBvlJEmt4Jgr5eulqRuMcl2YOoMSwo9TDo8NLGStn+Zl1j/BzxS08FhbYGfays76AgWqRMNGsdkJWeYN06Qrbw16Gk4S9cR0Xw664my31xQxHBTqdCgVVa7rPzB9aFHkJUCbkQFw+aso/d95c2IpGyKsAhfCG9kfJX93gRwpPc095I2NxlvWuxmHu78H/0X3fMYleZ+PpyiJuyO44p3IXtgTwHEAch7eufIhlzhgrXXNEnOr5RpsKWOSOMVkJuKe8kVX+IAVdZ4M30IzBPb7/2hRTyR8MBsWxDsEz42G7lUebShhNYlxJnaNnoiQV1n1xlW+Xr+DBsRUMVIocbGsnoyOGKnnGJrMoseyudrO/qCioOlXjsbPczXA5h+fEZFRIUdWpWI9djQXsaPTS4VS4PfscpSSDKwmBihgMCzwoa1ion5rVUXmuTJgaeTn2yyKrPAxmTnkDZ6P7KOvxSq/Oqo6HWKCzLHUeZUvYdco+jieqezyT5cEoe6JuJDazWoC6q5PoC+n4dj67iA2/t5VkfGKWnvNHSwBfZHTvAnb+99X0OE/RrSPazoOQtxPhiqagajhOQkHXUWJY6o2wxq2TVyefuk2YGgVJPx6RNfhiOTo2oWFjqjaiW+emd8pdQgD8ZiREw8YMxgVekdvCWJJwZ2UjT5SWEOiYjqBGPXEYrueo1D2UMiztHqeWuHxh/Do6nQrDUR5jBVcnuNqQoAjR9Kgqa4JDPFFZzliURWMYjgsscCcJ3Ii647LUHSVB+E5NU1D1U163S+9H07Ax/ixfAHkVULcVnmg06NXRnAVoNvIqIN+8/DInT0HG4CylkPux4hN8efIqtv+2R1K99pjjKkjYufGT7I7KvJufZsdvX4LxLWv+pYJ9+OysGbYE8MWms423vf57LHbG6DwP3V5mo6jqtOdqDIRtuBJzebCf4KjA/rGkSsSRrhnDSYX+RNOujp/xOrIJSoTkqGnUTJehxBpKNo3suMr3ubum2NfoIjaavmCCTq9KwzjUExfXSchnGlze0U9oHJ6eWDR9ndBoikEDVydUYp/+qINLshU2+QfxJOGRykq21vpwJWGNf5geZ5J2VWORDnFFeDhuJ+cOTk9ZE2v4WjVPu66yVJfp1d5xXZ2yyqNqwuO+Dt06x944ZG+coU3NX3LXo+Ow55NLvQzf1XX+4YZ/5lq/fNwIp7pVDFezXPaSHfz0wof4Pw+/hcLDZ2dMLQF8kdBrVlK+rIdap+b67E56dZmsujBcEAoqZHF+ggdHVrCgb5JAYkomTm0oESKbsDfWVKyLL2k1OYD+RFO3mjaVilsgzqzpoLLioURo2AiFOqZPTEJiYa2fRhzsibq5PreLZX4b22u9NIyDr2I6/Qq1vIurErrdMgrLcCPHWCPL4VKerBfR5tfpCir4KmYoLhJZS1ZglTvM02oJtcRlsT/GCneY5U6NTu1PJxW4OdjLSjfPow2PgqrxZJjhj7e9jsWFCV7Rs4U7sttY4+rjljQ9maht8j0ebYQMJCFtNqJNBed8edTbctt4oLaKte7EceuyrHF91ncOsW20h0cLK9Hh2VszbAngPKDXrsLmAjDNhXzDdB46iRJQCqsF1FRyOsuun2jnw2/9KFsbi7gtU2U0OffTXc2VNpWwqW0fz+g+XpF7FoVFi3A4SS0aAyR4RNZpZh6J8MQQiLDcsSeMfZ4Shcgm9MdpNMYSJ3NMZpSVrstKN51Sr3CHucQr4XKIdwxdQn+5SGcmzRw9XgvIuKmLTbdbotuvsDw7yt21tWhlaPNrrM8fZqU/yEJnAleEoUTYH7fzxMQSHGW4rbiVjV5IID6JtTSIpscAsNGF+xt5/nLPaxg+XCSMNXsK3ez3DlFQY/TNYQPheGzyPb5TS9cgVzlles/xGtFXeAFL9Q7yJ/gfu6L53Mrv8Yr6j/L9w6vwJ+OzNp6WAM4D5Q9Z3r/6P9gTdhNZh7p1cCXBWMUD4ytZmRthdTDIYneUQCJGkjxDcZGtjUWs9Q7hi0vVnjsB4mdKn87ylrbH+UicoVcbSsayQOcZo8q4MSjSxAmBpFPdqnUwJNStprOZomqKyKZ9Zu4ERzbhmTDmYNLNSJzn9uyeY2JmE2uYNHX+rbyGgbCd/4xydLkVtgz0YvfkmAzBuJD4ltGOiKfyi7miCJ1uhbe0P8SN+Z2MJHmGowLXZndxc1DCFxeDR3+SjqngNjhQaUc3N1qGkgZ74yway0avRptKHbLvrRc4GHVwc/culuXHuL19K3dk9jJqNFvCDgrB5BmV6Xx5JmEsqfLDRjdLnXE2uke+Xucac51mX9o+wDd3b2Bx/ewVAWsJ4DxxMOpge60XgHLiExqHA5V2xmsZRuo59mc6WJwZB+Bwo8DhapGCV2dt3yEimzBifFa/iOOfT6Y+eN8fXM1PtD+Cbu755ZVPRzPd0oSpUTUJBeXgi8ZtZrveHYV0N3UssYayabA/UdStZqmuskBnGTN1nmosZyLJMRC2sbPRy+uLj7PKef5LJMLycKOLBydWUYp9to/0UGu4ROMBjoBVzR+/Od3WEQvcSZa5I2Ql4Q25cQ4maZooTxLGTUy7SgP7e1SDrcbnpradPKGXMRQX+XbVY3/USSARVwX7cNFENmFfXOPBymX0N9q4te05frHjoabFl6cP2OA2aNgzt9g6dJbbgnG+W+vkvmoXVwV7T5iR53zg//Q9wrsSl+dyl3K2VsdbAjgP1CKXw1EbhxtFjBX2lTqoNNLdRSVQjVz6TRtD9TxRoik1PDwn4arOA1zujfFoI8MzjaVc7587WTLOlECEZYUxDiVFCqrOQFymU/uAns5EEkhazU0hDCcVOlSG/UmeQMrTfmVKhEASIquo23R9r0tl8CRhT72LoTCPsYrN/hLq9hCLdJVFjo8vLq/MVBhp38rfbr+DeugShQ6IJekNieup6OhiiOfFDFTbeMJZxkGvg85iGRNXOZjk2d7opZwEVHI7eXWmSkzC3jhDIBG3ZHay0BlnhTvKPZX1HGx0cFVuH526zuNhhj1RD0NxgWdKfTx5cDHhcocV7hCdKibbFHwtisgmfLPqcp0/QcUadkRFXhrEp2zB5VXA63NVhpMhng4LfK3qHTfM8HzhH5bcz/V9V7UE8FxBfJ9f2LyVLl1mPMlRMR7D8SRPlJZQjnyUGGqRQ2KFMHTxnISubAVrhUrkMVELELH0FUos8cbYFWc5GHdQty47o/IZ+Y6da9QThy+NbOLne+6jU/uUTMi2JMFYIcTBw9Cra9NRHgCXu1XGm8uhz4Q1tkc9ZKXBYmeSknX4dq0AwKTJpAkQ3BoN43Ag7GSFO0wg6RR5ylfwQNhFqZzBGJWGH2hLe2eZRcU0OmS4mmN0Msuu/m56MyWuyO3nUNzGuETsiXp4dGI5440M5dgHtgBp4teFzgQ/qK3mJ/M7AJhIMqwIhrku2Mc6N8dyJ8KVQ3x77BJG6jkCP6KWuDxRX87+qMxa7zBr3DTk8dnQ4+n6UrQYttSXsMo/TM1WycvpmXDdOsftGUPZjPOlSjeuxOe9EJ4tWgJ4qhjLvRMb2FXuYqIRkBhFYhRaGTJuhKMMxiiMUTQaLtYKh0sFRCyek+DqhK5clSvaDrLcG2IoKTIUF7lvbC0/Vzz/isocDwUsyY6zIhjmEreOL1kejFz6ow4AEhRduky3HsFgph10Eyz31VZwXbCPg3Hb9PUShEU6oV0N0x9nqGsPnTHsC7vYV+tkpT/EeneSNuVRtRF1a5kwlr31TtqLVSYrAY2KB7Hixr69vLvnbowVvjh5Dd+UDRw+3M7jA4spunV+GK+mxyvjKMNIPUctcjlYb+cHah1ZHdLhVDjY6OCxsaXs6+xCi2EkzOOriD1RO1kZQwPfLm0iMpo1xSFe2fssbbqKKwn7o05GkjwH4xGKqs7BuIMEIbGKNl2hYvx5SbiaVwGvyY6RWMtHxldS0HXelD8078lczzZX/z9P8GR8I22fOXGNk9OhJYCnwb5qBwcm2ohjjTGCUha/uZMoTSfeRt3FJoK1Qq3h0tcxSVdQoRp7rCkMcVVuL0VVZ2e4AFcSHDHznoftxSQrLtfldzMUFyiqgGfCGofihQzFRRKEHqdEu6oSWRhKYqCOQvFgo4vhuMjmsA+NxZWYCE3VuBidLoZnmxslgYq4NHOAauJxuX9wetpsjGHCxFSswyJ/gqd1H0mcTnklFB4YWE7BuZFOp8K2ci+jkzmcAY9axWF7ew/jtQwHgzqLc+MU3Dp92QmWBOP4KmYsyjIc5WlzaqwrDuJKwvbKgqYl6vJkfRmPVFcxEuV4ejz1KXRzCeuDAQqqxmO1FRxsdNDhpLvQriQUVY07cs8ykuQYiDrIqhAYPeY1PR18cUHgTYXn0AhPhw5DiU9WNVjrlM/IifqFYnkwyqOZs5McZE4CKCJ7gBJpXZbYWnvtUcfbgM8Ay5rX/IC19pPNY/8IvA4YtNZeNuOc/w38MjDUbHq/tfZOEXkF8OeAB4TAb1lrv9s8526gD6g1z3mltXbw1G75zBmq5qjXPJQ2xLHGcdJpnbFCkijCWGMSAQGtDe3ZGtd27UuPo7gmt4d17iCTNs2RVlQ13tj92At9G2cVVzSX+wf5bPVGBpIqkXXp0uVmgfcqBRVirDBqPDpVSIKlP4lIrGqmvfdRGHIqDYk7GHcwmMS06yqBRPQ4k/SoKg2r2eEsZNwE1GydvAT44uJKzGiSp88bZ3F+gsX5CXJOSGQ0vooZDXPsr3ZwqFIkiTWiQNWFPYe78PyInBdysNIOgKcTyonPUFigEnu0ezU2Bv2sKg6yub6Ux8eXosQQ2Q4mogzlyMdYYbiaJU40Q5Uc1xb30ONoHp9Yhq9jFvtjVI3H1nIfDePwnoXfxZOEXneCgpr/6eqUhb2KKr16hB1RkXtqS0lQ9OhJLvfGzgsxnG9OxQJ82VSlt1l4L7DFWvujzbKW20Tks9bakLSK24eAT89y3t9Yaz9wVNsw8KPNQuyXAd8AFs84/tZmcaQXjawbMZgoRFkESGJN4hgSI8SJJgodrBWwkPEirunez3X5XTxVXUafN84Gf4A2FTEep64PriTckTnE2QpBejFwRbNI19lb7eTJQjc5CZu+ahP0aIe6TdgRBTxRX0ZB17nU6+dQ0p7WQNY1sqpB3bhUjIcnCaHVTCQdGG+Epc4oGkPVOjxRX8bOag8Goaf4GBu99Lk7lcNad4TlzhjLFo5QUDUKKkRjqViH8STLuMlS6sxweGEbB9Z1MB6ma32N2CG2ikbsUIscxmsBz9keGlH6cckFIQpLe0eVyGoclRAah9A4lKP0Sy3rhLg6XQ7RynKw0cFEnGW0kWVNYZiCqjMa5xlp5BhvZBhKiqxwRuhxJrncG541xdd80KGzdACaSQqqTt06JCgebCyEBvToSS5x62c1IuRUaVjnVAsNzpn5mgJboCBp7cw8qf0eA1hr7xWRFXO+kLWPz/jzGSAQEb9ZMP2cYE1xiP3D7VgL2kmIQocw1FgLSaJIEoXSFqUMPbky1+T3skCXMFZY7I7RpRrUraJiPVyJWe0OnVNvuPkiKy5j9Sz7wy6WeiO0S5VOrcmrgCipMmkCBqJ2DoQKTRpvu9AZR2HShAgK6sYlqxq0S0LJZKgYn5IJGDdZKsbnQNhJt1+m2ynhyfOfkpkxrhu9Bumq5MwlhgiYaP6ku+9jSZUtUcCeqIe9jW4iqxmLs1Rin4FakYFSAWuFeuTw+MhiKolHRjfXfW1ad7jdq9Hu1sjo1MKtJy6Xt/dzVW4vD5dXUfTqdHllAhVR0HU6/CqxVRRUjTYVMWnr816IfTb6nDx9zU//hKnxYN1lNMkTKYddsUPBVHCxaEkTTryY2ckVaVGrs8FcBdAC35R0gesfrLUfPer4h4CvAP1AAXiztXYumv0rIvJ24BHgf1prx446/hPA40eJ3ydFJCEtnfkn1h6bW0dE3gm8EyCYb6tKCWuygzycXUat4eE0BTCJNCbRWAOiwPViOgsVLm0bYKk7wkiSR4mloGqEVnE4yVMxPsvc0XM2Xfh8MRrnp8PSqiYhkIgIixZDt5MmTa0YHy0GjaVuPbSUCYgwoggkIlBRep5Naw8HEqGU4SX5bax3J5oREGcmHB06yy0abglGYEaBckjzCD4Wpo7X+8JuDjXaGI8yeCpmVXaYhHTqnlUhWZ2+XZVYjBXe2PYoa9w6D5ZWszw7mhZ7Ug16nEl8FTGcLXClN8mEAY8Ejkn/cHZpUxlemY2A9OP3QF2zKyqQVel91HWFwIREtvk1IlBQzgu2Zt3pVCgvFRasXUWyfde8XnuuAnhLc0q6APiWiGy11t474/irgCeAO4DVzT73WWtPlNf970kLqtvm778CfmHqoIhcCvwFR9Ybfqu19qCIFEgF8G3MMrVuCvRHAYrSOe+BhK4kaGUJvAgRi1IWS/olJRr8IKKQqbOhfZDr8rtwJWFbvY9eN512jJqAPVE3gURc79fhrHk5vbhoEdr8GofCIkN+kUBF5CQCGiSk7iQ9Tpopum5cIuuQVQ1yqpG+TkmeyabVN5UReoU7zC1BdFS41wtjMb3WqZOmwj9yJahs6lRtQmItJSvsidrZH3XRmTlAoCLq1uXp0CWymlXBEO26iicJK5wxfiSTRpgkNsPeOG6m73pxQ9nSzNyp+FVNyCNhji31xZRMQCAxPc4kS90RLnGrJNjpyoUawRWNg57XKJQ2XWHd7bvYXVrFog+8CALYLHyOtXZQRL4IXA/MFMB3AH/etMZ2iMhuYAPw0DEXe/6ah6cei8jHgP+a8fcS4IvA2621O2ecc7D5uyQin2uOY7a1xVlRhQLie6mJZg3NOSs4Ttp2Iqb6Ow7fHOxiohygm9Ncz4/wnARHG0QsWTci7zXoCybY4B2mbjUN63CZN0QgCUNJgf6wg06nfF4WPjoVYqMoOnX6ow521BawPBhhfTBAj54kaq4/hUbjScJEkqNqfHr0JMYqttQW0+ZU2RD0s8GtzMgcc27FuuZVMC3BfcA6N2JqWj2TVe73SGya7WR/3EZ9RgSIFsUm/9x7L2SVx60B3BqkxegTaxhMqjzcWMCHy5dQSgKWeGO4EpNVDVZ7g6xyqk2n9yOZytWomvPZuYrk24vDfOGQkDtkENfDRsfPknOqnFQARSQHqKbo5Egtsj86qts+4OXAfSLSC6wHTijVItJnrR1o/vlG4OlmezvwNeB3rLU/mNHfAdqttcMi4pLuLH/75Lc4fQF2/MNqPnz9Z7nGH2fCWO6qbOR7I+t5+8Ifcrk3eNzKW1UTsjtOuK+6hgNhJz8YWoUIhA0H14vxvZi2TJ2iX8eRBCWWeuKyxBulU8X8V3k1eV0npxocigvsCXsYjApzHvr5ikJxU+cuvn14I2uLQ2yf7GGwnqda9FjpD+FKQt24BCpCiWGVfzjNH6jLrHF9bs9sm3G1M6+t8WIzc21voxdxPlr+WhR9Tp7XO1Ven9t6xLF9cZm7Kuv419HFGKvINUMTY6PIOw3WBYfQGLKqgUFxiXeYlc7cMtgYK4yvE+xbNtH+6fvn7X7mYgH2Al9M9zdwgM9Za+8SkXcDWGs/QjqF/ZSIbCadCb5vasdYRD4P3A50i8gB4A+stZ8A/lJEriKdAu8B3tV8vl8B1gC/LyK/32x7JVABvtEUP00qfh+b640+97FN/OtNf8/1vstwAtujLvY1usg6If8+fC1P5Qb5ve4j/6ETJk1h9M3JTTw9sYh64hCZ9J+VDULKSYBJFKXJdDe36Ndp8+pERjPWyNKuqzxYX8REkuXqzB5cSdjaWMSuWg+XZPt5c2EncP5mfz4ZrmjeXHySf95xPVd0HOSazv24kpBYxeZKWtc33/yQZFXI+7qmHMEvvA2hi4FlTp4fz29nT72b/9x+JY5juKZvP59e/vxk8dmwyuawj2+NXcZnwgxXtR3gp9oePWnFu1X5EZ5dvIjauEf7PI75pAJord0FXDlL+0dmPO7nyLW6mf3ecpz2tx2n/U+APznOcDadbLzHwy82yEkMuHTrXLNS1mPUbMid1V7+fu/tRwhg1YR8ubyUO0euYO9kB/XQxVihETpone7viFiS+HkzXmGpxB67x7vwnZiRJM89o+v42d77WaDLPNFYyrbqQnwVs8IdOmHapwuFxTpLeSLDfYdW05mpsq44SJtTw1cxHW6F23Jb2eRNWQDnZvaSFsfnK5Us2xp9BBLzpsIz9Dmpk3hY9QjLDlv9Xlj+fP+NXpZ17hhvzN3LD+oum+tL2R51sc49vu/jQFwmo0P8QoPSJVD5mxtZ8xvzExVy0USCxJFDyXgk1kyvPWhRVE3Cn299NfE9XfxJ7wbe1/UMCsGQZhQ+XC0wMp4HsWhtiRoOUdPBWZTFWiFfrLG0fZxF2QkcSfA6E3r9dB3rquIBrvMH2RK1sbvRQ3+tjdf3PMHLMnXOtbWss4EWxbWr97JteAGTKqDDqfKmtkdZ7sh0MtNzNW1Ti2NJN0U87pq4gufKC3h6oI+w6rFyyRC35bbRB7wkt42vL7qUg4/3oeTYPUgtCg3cEkQU1HYerq3kK3aM1+eqsz5nArQ5Nfo6JpnM+Iyatln7nQ4XzTsvmXD5xNCtPHPUAmpiLaVyhuxhw9cOXsqnJxdTsyEZ8dBiSJpxvVjBWhBtp4XPGsELIjYtPMDNnbvo9SbJ6IjVuSEWeCWerixikTeGFmE8ybG7mk6508SaF774TfEXS7/M5QsG+KUV3+ft7Q+xzvXIq4Cs8i6q1+F8Zzip8O1aO/8yciNf33cJTw/0YRJFR1eJty15gKXNmdFat8amrn0k2RN7wrmiucwTbs7uZDzJMpxUZu3XqzO8JPcc13fvpa9QAj1/jh0XjQUo2YSRRpaSOXLhOas0N6zYw0OXbMSv+7TrKgrFpKmzu9HDRC3AJIJJNBIrHC/BWlKfPytkMiGrs0OsDwYYigtUjc8a/xDbGn0crhVZ1T1IaC0V4xEah//W9RTX+ONcCIv6c2Wlm+c3+77BEiemQ51+9uMWLx4NG1G1loXOBG/t+iErM0McarSRdxpsyu7m5mCIYnNJp0MFrAhGsNoyOnni9VxfXHLSYDguMpTIdC7ImbiiaVc1aonL/vF2aMzf++eiEcCOrhKXFA/RrhrM3HjIisev9n2L/3jNOH3eODcE/fiS5d56gW3lXhqhg43SF9wmgnUTtLaYBJA0CYIrCQVVo92vUFB1ulSDHY2F5N0Gq5wyDQt167E4GOeq4MAxpQkvBlJn7wvb4ftCRqFoU5o2FdOmXNa7TzFhLK7QzMb9/HvaFY0SgwrVdBKKE1G3msNRkf6kwEZmz/58KCkyGubI+iGl3PylyL9oBHBl+yjX5nbTeVTFMVc01/ua63ufaLakrgoPVlZzuNp0VREgETDS/IcmKJWa99YKw1GeKKNZ64yxyPGpmjQq4JL8AAWlGY4UkdXcVtzKIn320nu3aHG2cEUfkba/W+dmtdamMFYhMZj4xNbahKmxJ+6glrgcjDogM3u6gbp16Qsm6PUn+WZ9w2ndw2xcNHORdflBFjljBHOcfo1EORKj8L0YJ4gR14BrsEawppkIQVkqdY+DtXYSq2hXajrXmisxN+R20LCGunVY6ExwW2bkorT+WlxcjCVVBsI2xAiUj29jlU2de2pdfH3sSiqxz+bq0uP2XesO8dLCNi7J9uMog1x72XH7ngoXjQW4KbcHgPqcQpRhoTdJ3msQGZU6NrsuUZSmvvK8mLhp2sdxGsnQrqvTCQ2UCK4k3OBXOJxYQjSvy43gn0HhmxYtzgfKps6XKyv46p7L0DXBimIsqR6R7KNqQiZMyD21pXzq4M3sPNRDJttAgF/o/AELm5alK4rIGvLK51IvQ0EN8uWwh+58hb3va2fZT575eC8aAUwQxpMsC/Xcksp0uyUCHWFtltioI/z9kkSlPoBJ2rYwKNGlakytLQbicF1mD3kVsC0K0ZjpMKAWLc5XkhnGg2kWuopsgk6DJIhswt+NXsmnnrkR9VwObxJA+MPBW/nD3vumz/3X0mr+9eC17Nq7AHfIxakLoWRREfy3Q7/OK6/ZTF43WJUZ4pnKYt7ZfQ9X+ZrFOssdua0c6OygEc+PdF00Avitscv45QV306bm5naxwh2izatzWKXrgFNiF4UOEeD5MUmc1jtzVII7IxWTLy6rnITEGnp1yBLn/At5atECnhe9nXGN7VEXAONJjv6onXIS8PDocjr9KvXE4fE9S1EHA9yKoCIQA94kfP3O6/hKRzOGQdLEs7ouBA1BxWk/3QCnanFqDncPX0Wcs5hMuux060u2cZU/xqSpM5TkcWX+1tEvGgG8b+8qXt2xmbXO3CqvLXYm6fbK7NGduDpBOwnWKJIo9QnUWUMSp5agr+Lp0o9T5FVAw0bsiIoscS6couctzn0aNmI0aTBqNHWr2R72Urcuz9UWMtBowxHDRBQw0cgQW4WxwkQtoB6m69e10QwSJNhQIVWNJILEqaipSLD6+fx8KhR2k9ZXzkwKVoGZUhXbFLe6IKMKKxyx62Bci3VAjCAm7euWLFFO0Bp0TYPSjCR5YIyiClBiuPvQWmqRMy9BpBeFAB7+1ZvJZYZ5vLqcS7xDdMzBCLzUy9DtlqnHDo3IwXEMcZSmuXe8GFcn1K3LuoVDvLbtCZY4x7p4+OJye6Ylfi2OZWodbNykmWH64w4SqxiI2hmO8gw38tQTh2rsUQ59KqFLnGiUpBmIblq4ly6vzFBY4FCtwPaRHiqlAIyAsmAEGymkrrCuTcUoknRjwoDVpP0gPRanImQ8iwjQUDhVhVgwjmUqoGNa/GwqhlPGmA4Fo8E6TIugOKSimYA1kqaLa65ASQJIcxw2/Yly6RiSrCXqiEFBvrvCWi81WvbFVb48disH+zvJFOenbMBFIYDlZYYbuwZZ5o+QU3MXpF53gqLXoNLw0GIxRnCVJfAjokST1B0mGgFV45NmGE6ZKsnY4sKjbOpsidL/7VBSYHtjIRpLKQnYXetmLMxMixakWUwm6z5ZL8JYoVJPl0OsFaLQwSSCKDCRwjYUCEhNY30DyqIyMa4f47oJIpYo0dQrAeNdGSZjH2MVe8Y7KY9kUWUHq20qeE0RlCj9QfG80FmQOqRPlv4yTUFUYSqSVlmsYzFTmZgtoKYEzmL8tK/VYNoipOzgjWrcEuhmsJXVoGKIHMhcM8LPrnoYVxIWuWMUVI39URc/nFjDD/atJN6ZJwksJjB8/JWfYJUzgRZwgW6dATQPNxZz78AanCCmNjY/G4oXhQAm+TRleZqAYO7CtMEbYH3bYcqRRxg7uO7zaw9xrCARBgbb+c6CS1jlfp917pQLTEv85sJAXKY/8U47D17ZpJXkqjZitPm9VjUOh5IiFeOTUw12hgsoJwGR1fQ32smokHLiMxFliE06HyuFAVoZ2r0aSizjYfrhcsQQGp0mwUgcapE7XQK10vBwdSpKtYaHiKXRcDFNp3nRaaLcJFbYuqYkIF4y7VSPTS0xrICkqZZ1WWPcVFiMCIhgfUFrQ5IoGnUX09CgLAcraTxszg2n7+OIKaYRJEgwjkGqGtUV4rgxWhuK2TqNyMF3Y3qyFbJOqlgZHdFIHNq9Guuyh3Alzd7d5ZQJJCJBppd6XIlJrEKLISchFetRMT6fPnQzjz2+mrbnNE7NEmWF+oKEf7nin1iqTeohgcYVTSPYw6tyOzjc67H5iiV8YeBalubGuDUIZ83ufWNwkDctf5x/3X0NY6X5Ke15UQhgz9IxXt21mXY9e7A1pA6ZR2dn2eiF3FbcxniUYX+5A9+JUWIZrWTR2qBzETYRtpcWsKvYyRJduuATnM4HjzZCvl66gh+OrGKyEXBr7w5WB4OUTCpUgcQcjopMxgGuJERWU4l9GsZBiWE8TF0qGrFDJfJwlKEaPf+BiGJNYgUtltikwqEdgzGpmMRxGqFgkzSeG0B7BtdLIwysTS0034+mN79M0xMgSdIC66aSPt/UWll6IpAIYgWjLYa0DKdIulZmAgWOQWKVTiUdk55kBRxDkiedwnbX0IAoQ3uhRs4LsVaI8yqtKx1UuK1zO2v9QwQSMb44y0icTyvpiUE3KwhN5d0rJRl63XECidBiKKg6xipciSmoELfZX4slsUIghk6t0aQJK3xxjhO+OGUQ6ObjKhuWfZm7u9fyybU3UbqnF6cKkghXeMemz3dFk1ewxIHLvINc4h/kUNx2XAOiT2e4OrOHL8jV4FpGfvkmuj52ZrkBLwoB/LmVD/Dq3F76Y4foOH6A7iyZWdpUhhXuMEuCcSbDDEoMgY6pxw6uTihrQyN0mAgDJk2AlvLZvpUXhKkU70OJYsRkqBsXTxIShP1RF3WTfvjr1sWVhIZJ071PidVgWKCc+Pgqnj6uxGCswiDsKXeyZ6QzncYkwhdGi2SbfmAAWhkakUMUOs3EE2nlPWyauDup6TQyxwqSpIvyEkva1py6TV/MgGooosKM8KlEkFiBARGwriGxkpYyBbRjsFZInIQkUdO1n53mDMBagXyEiRTiGIJ8gzB0UMrgugmekxB4EVk3ohJ6tAc1sk5Il18lo0MaxsFXMb56fkyuJCQoaonLqsxQU6AS2nSl+dqnglVUdQqqxiqnOqOMZbn5cyoYji0Udeasc3Osa+tnwZpv8BsH3kLnww5z2bT1xWWTZ3iCcY6XKNYVnZYYCF0wMHJdTNecM4LOzkUhgJf6B+lSGeq6SiCz3/LxLLdAErI6xNPxdNWvjqA2fXwq3Y/GTkeBnA7DSYUJY1l9nKzUcyWyCWXTYNQYSsZl3GQIrWY0yZOQVl8LraZuPYxNP/B166KxRFZTNy7lxKec+Aw2CozVs1Qib/pex6oZGg0HrS1Jklo3pukXKcqmJULLDhKqVIh8kwqXtthEIG4KV5yKlxiwtYCy9rGBaS6IN9Vr5sb61GPXpsLVtLqsY6cX0cXStOia1pUCIsEEBhUkqSWm0lKVSZhG83iZCM+LKQYN8l4Da4WuIM1KUnDrhCZNguuqhIyOiEwa55rREbUk/X8vDcYYi7L4KmaBN0mnLtPllOlSFerWpUdXWO7IPBYRUrwQdVDOhLXuEKtWHmby/sUn7zyDgjpxpmxjVfoFJKDnISb4ohDAZxqLuSnYdVrlBgsqoc8dZ6taSDV2qSUuGSfCIOTcBnFG0+5V6dKnZ/1FNqFqQw7EDjujHrLSz/7Ep27dtDQkqUDNtLpyU9W6rItLQruuUpAILZbRJGBruIL7J1cz0sgxXMvj6oT9I+3EkYOITbPbRPr5WqtNJ2+JBdVIXRlsc8YjJp2+qShd1LYaJIZYp33EpCKUeKnVJZHgRDItWHGRNITQki7MW4U0FNKc/YkB45Iu3E+lOQpletEd1bTmVLqwrxyD68cYkwppJhOSNNfApPll5OqErJeWq/R1jIgl0DFZJ6TbLxNbTSNxKLh1FvtjFFSdS4KDrHLKlIxileue0ZfZ82jSF/niiwDqVAlrikM87C1GRadW03IgLh+3SHu7qtHXPsne0JlevjgTLgoBfHXuWfzTLJm4zMnzitwOIqvZWV9AwzhcU9hHgtDjlFjopGsra90ac0lxNeVYqkVNW2t7Y023jujV/fx76VL+/tmXUq94ZPKp0NUqPraWTtFVVWPy6ZxCqhrrGQp9JdZ0DhPomPEww4GJNiq72rB+ai0FfRUaoxnccY1Vz+sK0vTF8iyqlu7+SZy2W9W0qGiu0UeCqqTtccGiwnRH0DjpGg/2+amnoSmgTdFCgXIMXhAT+5q47oA2zdRiguckKGXJBSGrO4YZquWpxw4dQY1Ov4KvEtrdKov9MVxJ6NJlNniHUGJZpBM6VGaeUmyd21bV+UQgioX+JIkvOOV0hnO8OPjEGho2pmojHq4vYzzJ8t72/bP2XeTEvKHvST5auoVa7czX2+ckgCKyByiRrnTG1tprjzreBnwGWNa85gestZ9sHvtH0gJGg9bay2ac87+BXwaGmk3vt9be2Tz2O8AvNp/vV62132i2bwI+RfqVeifwa7PVBT4a/wy/KJY5ed7dfhA4eJweirmK34hJp8/Z5kJvVrmscy2jBqoW7h9fRbSrgBND2PQtnLlWLoAkGqtTB1MqmnIuQ7/XRuDEVCOXes3DehZppNPMetlHwtS6M65Nve+T9DFGSNTzzqhJJlW9qYJlU/5acc6kSWF9g9+Z3kMuCOnKVSmHHr3ZMuuLh2nTNQzCAneSxe4opSTDHdkDMyq6zRet1FrnMh06y9XZvXxJUleYX9//Wj65/DvTGxwzM7MPJFW+XV3F3kY3S7zRE25WdqiA23Lb+F7XOp7u7zvjcZ6KBfiyqUJHs/BeYIu19kdFpAfYJiKftdaGpIL1IWYvX/k31toPzGwQkUuAnwYuBRYB3xaRddbahLSW8DuBB0gF8NXA10828JI5N+JwtahpIUiswWBRCCVbo1N5ZJXHeJhBRaBrz08Dp6aaGIhzNnVAbUBUMOiawjY0iVG0+zUW5iYZz1TZYXswwz62M0Icg7uwSmZ5WsfYd2PWtg9xXXEvbbpCUacL60/WlvOS3DY2efOZpr7OxZT8tcXzJFahYsDCDzav5Qe997LGnaRPZ7m77rLUmWSJdjkQZ3i2tohK7HNldh8j8fEtcVc0i3SdJdlxHi+tOOMxztcU2AIFSUvH5YFRIAaw1t4rIitO4Vo/BvyLtbYB7BaRHcD1TSu0aK29H0BEPg28gTkIYOEUnJ9fKKbqIgBHTA3uXH8nf9a1HoOwzBumbj00hsuD/fSoBjklc7OmTiNl2sszu0hdT1u0OHMCFdJoA6eWblp9beJKbszvpMeZZCTJc39lLU9NLqaeuNzSuZOrs3tRmGZgwfGJrOVAtT1NUXeGzFUALfBNSVeZ/8Fa+9Gjjn8I+ArQDxSAN1s7p7xTvyIibwceAf6ntXYMWExq4U1xoNkWNR8f3X4MIvJOUkuRgCzn23Tpt7q2AM8XkAbQ4tISpxbnE5F1cKuQeOnm2P/ovo/v1pbzndKllOPU02BpZoy1mcMs9UaoN8tVpE7W5rizkDbl8daFD/LMQB/b/+ka1v3S06ddLH2uAniLtbZfRBYA3xKRrdbae2ccfxXwBHAHsLrZ5z5r7eQJrvn3pPWEbfP3XwG/AMy2YmdP0H5sYyrQHwUoSue8VVAZS6p8t7aQyGo6dZld4QLadZWl7ggJih5VZaN35jVtW5EkLS4EFAbjgq6D7Qrp1plpbwaANdlBbs5u5xK3zpYo4C8O3g7Am3ofOekSTGQ1Ipbu7hKo01/kn5MANuv+Yq0dFJEvAtcDMwXwHcCfNzckdojIbtJJ2EMnuObhqcci8jHgv5p/HgBmpoZdQmpZHmg+Prr9BcMXh5IJ6A872Gb70JJWuS+ZDBXjE7jRyS/SosXFRNN0sXXND+qp+P1E26MUJCanBF8Ue2PFv41dz2Alj1aGoq4fk0R1JlqEgk7LZEbJmRkLJxVAEckBylpbaj5+JfBHR3XbB7wcuE9EeoH1wK6TXLfPWjvQ/PONwNPNx18BPicif026CbIWeMham4hISURuBB4E3g58cC43+WTYTa+unLFl5YvDbZldlAKHLY0+lBiu8vspiCUCCqJoTVNbtIBnwhof3vc6nAoYH7whh++VN9LnjrNQJyzQeXZGZe6sLef+ydXsKnWT80KW5cdwJSaafXIHgIPmEneY8WoGR5szcl6aiwXYC3wx3d/AAT5nrb1LRN4NYK39COkU9lMispl0qvq+qR1jEfk8cDvQLSIHgD+w1n4C+EsRuYr0O2IP8K7m9Z4RkS8AW0g3Ut7b3AEGeA/Pu8F8nTlsgAAcjDoxmRJnWohci2JlM1IjJ/upWIfljjdPTrMtWpy/VE04HTO8Oyrz90MvZ+djS2lvWFCCUxEONYqs9g9zXy11X+mPlvN0ZRG7St1UI5euTJUNuTT11VCi6FKzrwNqURSUUG1m1uk6g3GfVACttbuAK2dp/8iMx/2kluFs57/lOO1vO8Fz/inwp7O0PwKccjWU/+/e1/KKV/8NSxyFQubFxaNNCcrEqJbF1+ICZHdUZplzZA3nxBrKtsGOSHMoKRJIRN26rHJGaVeGrEo4EMGnRl/K1566nPbdgootNkrnwb6KWeEN87WJq9hZ7gbAUwkFt46xwpLsOOuDAXp0if1xO+vc6glNlrZ8jdGJM3OxuigiQda962F+9q63s7ptmF/qvZdb5yEks2QsE8ZlEYYztSxbtDgXaNgIB03ZNvjY6M28svg0nTOckutWs7WxlC8NXs3eiQ6KQYMw0bxs4XZeU3ySivH5t5Hr+faWDeSe83BqNg11dATrwNrMIBvcCluDQXaWuzFW6PbLFJ06tcTljrYt3OCP4Irie/GJDYuC8ritbwcPu8vP6J4vCgEEyL96F4eB937xZ9h8w+fO+Hp1q9gTd7HGHW5NgVuc90Q24dnQsMZNeDLM8O9br+bL3uUsbCtNbzQYK4xVMtQqPtLMJt2bL3O4UeR75UvYUurj2eFeqKUhl8Z9PtbbuJZ3t+/ClRw/U9jFQmecdl3lcvfozY7UopuKgz8eDppbCttZmznMF/WKE6wYnpiLRgDnm41eFi2H8WV+0wm1aPFiULUhd1c3srLtWW4N4Jpl+xmq5enJlDlcLaSRRkGN7kyFUptPzg35o2Vf5io/9bGdMDWq7Y9QWiLct241H99zCyOPL6C4Kw2nTILn/VrzKuD1uSnLcvad3qw6cfXGho35+323s6Iwgvg+VI8fPnciWgJ4Bix3vJbPXosLgjaV4ZfatpJvJgX+l5XfncNZzwcYtKkMbQr6gHVth/jFK/+Du9cpfulL7yRzKK0dYrBzXiy61gtx5QRpsTDsH2tnz3An4V95bHzfXpKhoeP2Px7nRpDsC8V3lvC9a88wg+IMWlPfFhcS85evMOWWIOLjb/gocQaCoVNzVnZFMxCXiezxs6l25qsk+3LT0/HT4aISwFrsEp08ecxpEdnkhP+sFi0uNlzRLHUmm9Xm4A8Gr6Zh5xYs4IrmZJ+mauiSGRJsXcOcIm+P5aISwIlaQMmefthMw0b8S6mDsjm2JN+BuMZzUciEqc1yZosWFye+QL0vwS3BY2NLT8lIGDUOhtmFTaHoyNZIPHDGNSQtATwp3fkK7Wd4x6HV3FntZXdUbiZyjHguqrA3LjJiMpRMywq8kHgqrPNQI2IgvjDqvbzQ5ETRvWIUq2DbjkXU52mW5IvDX63+N2pLYpKsOe144ItKAKuRS3gGU+C6jfnK0FX89Y5X8OXyZcQkTJiQQ0mOwaTAaJKnP/EZTCok1kxnf25x/hJIQk5ignnLj3hxkVc+v7n2m1gNmf3ztwSlRXGV73Plxr2o7gY4p7efe1H9VwdHihyIT78+Q8MaHtu5nMHdXTwwvoq6jakYS92kNTsmk4CSCRg3ULMh5rS9k1qcKyzSulnQ6PxKqXau4IrmVdlDGAecCjzcWDDndcC61SQnEcyr2/fjOAnjL1uF7ug45fFdVAJoxzwGk8Jpnx9ai4y66JKiGnsYa4kQtBi02PQHO108GtIUWlPT5RbnH3kVkFdBy93pDAjEobLUgMB3Jy+hZOaWu0/PwYDodCp4XszAHQn0dJ7y2C4qAcSCOYNb9kRgQQMTWFblh4mwlIw7XainS5cJJKKgZPpDc1+9m0+M3cRAUm2JYIuLEgfNG1/yEHEWnh1fSH2O0+BFOjzpF8/N2e1c0nOY4oIy1jt1t7SLSgCtZ08aYnMi2pTHH133Fa7etIO1mcMcSjQjSY4eVWW9O8JSZ5w21cBvrhcl1nDP5Aa+vn8j368tpWZPL2ttixbnM1oUf9X3GLVlETsGepgwc7OmC+rk63qbfI9Or0pbpg761DdCLioBdIohPbp02uf74vLWwgj/vvrbPFFahsZSVHUWaljp5lnuCO3KYKxlLKnSsDE3F3bwRxu/wk/kh+fd0bRFi/OJ37zlLkykiOzcZCevAoaT2gnXDMeSKtsmFpCcpnvbRSWA7cUqnWp+rLD9lXa+MHEth5I2tscuz0UVRk1MAiRYEiwHkoguXea12XprDanFecVTYX3eHfvf274/re16CvQnHlVzfAHs0FnGawFj5Swkp77peFHFAl/Xu286oemZcteGr/FsWGVLuBAPQ0Gef/Gz4qJFcCWmU5V4NhTWucE8lpps0WJ2qiZk2ISMG6eZefn08uVd4Z2d2UqmWMeVua+F163D9lhYxfELq5fKGYxRyBw3V2ZyUQngfLPRy3JfLc9DlVVszPRzuX+AThWSJaFsDC5C3VqGTI41JK2sgS1OiYG4zJNhF0udcda5HlUbsiPSuGIYSnJUjM/esIeBsA1fxQCMxVlC45BRIXmnwTJvhB/N7zwLhelPjxVdo3x67Cbe3fn9ORkjgcTsibppVwN0H+cDdMvKXTx2aAlWnbqBcVEJ4M7JboYXHv+b5HT4mcIuPgc8V1tIxfhcFexlwkSMm/Q5sqrB/qiLG/xDXEyJU8umzpcri7nU62eJEx/3NY9sMr08MJZUKapzz1KObELDRlRtQt1aljnzM4s4GQt0lluDEq6kWYfaJMNlXoTCZb1bJ7E1oswIxlrGTRo05s6YYQYiJNbSpeZeqXDC1GhTp+8rezLeveRuPrjv5exvy7NyDpu2i3TI1tClZI7f+ff6vs7f6JfzvT9cw8IPb8L57qNzHs+c3mkiskdENovIEyLyyCzH20TkqyLypIg8IyLvmHHsH0VkUESePvq85vHfFBErIt3Nv9/afJ6pH9OsHYKI3C0i22YcWzDnOwUmGgHVeU6GkFcBb8hvZ13mEGNxjkNxO64YEoS6dakan3Zd4XDSuKiSJWTE447MXta4lrYTbP7MXBvNK/+cEz9Ix5gRjw4V0KtfOIdoLYqsOjLlmi8urmh8cckqjzaVoUNnWeZkWeZkWKyz0z8LdI4FOntKr2lezu793ZYZYWCiyGgyty+RNuWx1B2h/QRr9yucLGuyh1nYViLxT+39cyoW4MumCh3NwnuBLdbaHxWRHmCbiHzWWhuSFjH6EPDpo08SkaXAK0irygFgrf0s8Nnm8cuBL1trn5hx2lubtUFOGUeZs1LBY4HOcUd2Fw+rOuNJlsgq6talbjxcHRNIRCByRKHzCx0tir5TtJTO5Y0iLappv5+bY3x+fMe2n+p1ziZtKkMYakI7t9fRF4eFukKCHNc6NVi+OnAFldDjVFcu5+tuLVCQtHRcHhglrehGs4D66HHO+xvgtzlOgXPgLcDn52mMLMiWTupbNNyM4z1Vljl5LvEOUdA1EgSXhECF5CSkoOqMJNIKjWvRAohDh92NBbNmVTqaVNgto0nAcDL7DOrZKGLXcwsZHC6iw1P77M5VAC3wTRF5VETeOcvxDwEbSQuVbwZ+zdoTq4iIvB44aK198gTd3syxAvjJ5vT395uCO2d6gvJJffHm6qU+G54YcqqBxuJJwkic55nGYurWZX/cxkBSu6imwS1aHM2EqWErDvePrmJXfPL+kU0Ip2ZUx7EaR5Ms7rhGDXno2hwuOoO5CuAt1tprgNcA7xWRW486/irgCdJC5lcBHxKR4vEuJiJZ4HeB//cEfW4AqtbamWuHb7XWXg68tPkza2lNEXmniDwiIo9EPF9bQMvJxW2Jkz/taUDdakpJhrp12Nro4z8Pb+L/bL2Dr01chUGxJexiYg7fei1aXKh8v96BriiePdTL1rD3pP3HTB2DkFWNdG19Frvqer9OnDcYz8Kp2URzE8Bm3V+stYPAF4Hrj+ryDuA/bcoOYDew4QSXXA2sBJ4UkT3AEuAxEVk4o89Pc5T1Z6092PxdAj43yzim+n3UWnuttfZalyMXdSObnLWY3KwktOsqg0mB745u4KmnVsAP2vni1isZT7LU7dnLSN2ixfnAV0avxqkKyf4sz9SWnLT//thl3PhEVlMyLoPJscWPssojv2yS/NJJovypObacVABFJCcihanHpAXQj97R3Qe8vNmnF1gP7DreNa21m621C6y1K6y1K4ADwDXW2kPNayjgJ4F/mTEOZ8ZOsQu8bpZxHBcVBDiS8Hho2BqduOLU6dKpNZ26zLZGH5sHFmEdi1u2OFtyfGn4airGTyNFWkkRWlykvKfnbrCCO6kYCU++SXYoKbI9XMjWxiKeaSxiWzT7xPLX1n+P1y1/hnqXg8rl0kpxc2AuFmAv8H0ReRJ4CPiatfYuEXm3iLy72eePgZtFZDPwHeB9UzvGIvJ54H5gvYgcEJFfnMNz3gocsNbOFFEf+IaIPEU63T4IzLnC0dX3V/l/e+9mk6e51Ds7fk4aIbKawbBIV6HCv7/6QzQ6hNwByyN7l6ExTBjNZGsa3OIi5SrfJ2w3eCV4eqyPAyfItL07KlNKMuyo93I4asOThHY1e8mJX2w7xJ/1PsX9H/gIX9/+A/Z/bs2cxnNSe7EpQlfO0v6RGY/7SS3D2c5/yxyeY8VRf98N3HhUWwXYdLJrHY9HN7m89F/fzU+sfYKXFbbw8sz8bkaMJVX2J4pnGksYDXP83w2f41LX42U//igP/MM1eFuyfGPVZRS6a3Sq43kTtWhx4WN9g8SKA0MdPLJyIUuc2UXw4cZinq0v4hsHNtKbL9HbO8Gk9bm3DreexN/lqRv/mXfcfzuHb5o8Yb9zz+v0LPEjT43zkmW7+MHQKrbUl8z7NLRuDVXjUk4CJqKAS10vTQO06PuMXmHwJuG+Xat5qLKax8Jung1Pr5BzixbnO25bgzgHam/AFwavm7XPJyYW8p3xS/j8lmuZeKqLZ3Ys5p7xdRyK29DHKZQ0Ey2Kjy37Dndsrpyw30UjgKu8Id7Q9Si92RIPTqzkrtrcw4PmgitCxXrUjcuGwuHpnWRfXH715d/AuOBsz/LtgfVsqS/mcJJnbJYF3RYtLnRevXYLcdbiVIXx8NjlqH8pdVC3Lt/ZvgF3c47sIcEbcHn80BJ21BcSWeekBsRwUuGRhqaUnNhUvGgE8IO/8WY+OfASHDHsGO/mG+OXz9u1y6Y+/Z1U0HVeWdx8xPGfK26htD7CH4f+Pd08ObmUPVE3m6P5FeEWLc4HutwKxgPjQjXy2BmlBdCfCWt8pZLl4fJK/mn3jQSbM/ijFqdqyR4WKvsL7Kz2ANB/ktIWBeXRqeoM1NtO2O+iSYbgf+1hBrI3EAeKyiLhezd6fDq/m7cXz3w9biiJGTUeB6MOlBgud6vA8+LWobO87yV38tfDrycYcHiydxEb8odY5IwxlkzQoVtC2OLi4dnyQqKuGJWJWVkcYXvUxf444on6ajaXlvDD/SuJ9uYoTEIzyQ0SW9wJxeODi1mZXUc18bi/EvJ73VtnfY4JE7It6uVApR04/kbLRSOAAPl/exCAzss2MDrQwR/tfBOrf/z/cktwZoZwf5JlZ7iAA2EXWgxDxtJxlNP6u9sP8tHLRqk/1EVlf4GnehZzRWYfhxKO6duixYtF1YRklQekM5uMpGvZDRtRtzGRNdStxROhQwXsi2vsidvIyfPJCpQYNHY6IYjGsDNcgCcJdevyZP9ixEvI5escrhX49OGbqScOo/UcA2NFzJ4cblWI82AaAgLGA7CMDRT5grkaa4VG3SW6RONLTNV4NIxDZDUaw2iU40ClnVLDp/YbN8Nff2fW+xV7gTvmFqXT3iAvn/WYXr+GZ/9HB2vWHOJbG796WtcfS6p8tbKM3Y0FVI1HLXFZlRni1zv2HNP3s6Uufv+bb8IdV2SvGOM3N3yLq/wDLHeEyBpGjWF/XOSWIDqnEwNcSEQ2oWrDOaeASqyhYWMaNsYVRWQNFWvwRFCkoZSRfb48xbhxpkO4SiagoOpNp94MCoMnCQlCYtV0wa7Q6unaNbqZPDSyDnXrkliFFpOWYrUu7bo63T+nGrSrGq4YjBWSZvKNqd9161IyAZF1CK0msg4ag5q+nsdEkqHHKRFah7E4h68iCqpO3bqMxTlKSUAl9snokMX+GM+UF7NtfAG+E6OwmGaVxEDHGIQw0Xg6YfdoJzk/pBE5jPc3fflcA9qmWaITAQuqqnEnFMa1SAIqEqwG61hM8zdWsK4FAyZjQFkkVhALMsO5w3qW/JJJ3rjyKf72inuZtKPHhIlcVBbg0STbdrDuXaCyWf7w/ksAeH/35lMSn4cbbTxTW0ItcWkYh6F6nkP1Ij9eeJo+nTniWm8tjPC3q0YZfbaLSs1jNM5Tcj0eabhMmoD7Suv55r4N/MVl/8mtQWn6m/hcJbIJBpNG12CJrCGylmT6ePo7EEiAhn1+0XnmPt6UQKShToI56oObXutIKz1BpkuQhiiMVdOWBzxfUjFE4TWfTYnFzEjJniCMmwx7wsVc6h8kkJi6dZp902tN/e02P1lV4zNuihyK2ghURCnJMBC2kdUhvooYi3KMx1k8FeOrmJ3lbkbqORKjGCln6cjVCBPNZCVdnHfdhCRRGCMYI2CFJFF4foxSBqXS+4giTdRwsIlCHIOpOUhDQTHCJoL2E4r5Gqs6RujwalRij9gqlFiqsUdsFGP1DOPlLHGkSSKFjRUIiLLYhkqvJ6nISKgQCyoUkqzBaotEgsSCWLAKbFO8VCioBExTnCA9Zh2bCpWbvv71rEfc0GBBIoWqKjACyqbZBpr/mjhrEQuSQJK1GNem/SS9vlsWwnaLDgVd16hoakwWMQIGxKTXqVYC9tWOXy7zohbAKUy1yg+vTMXms1v7WOsd4jKvcUKroGzq1G3CnRO3caDaTj1xqUQe9dhBi+VXd/8E/2vpnSx3yuhmYkoAVyeYjAWj+M7wBr4SX0FXUCGjI+7ftwKzM897xn6WD730s9zgj0w/n0ZQIpjmdRLstIgk1qJniYFUpEKTWIsrcoToTB2bYrYC1FPjnqrI4M5oD63lcOJRsR77o4WMJ1kGwnYON4rTH77JMCAymlWFESqxx75SB3mvgbVC2KwMFiWa0XIWrQ3FTJ1a6NKIHLQ2NBouIhaTKOJQY40gOv0wWCMoL0GUJak5qQXhGkTAWlCuQWtDVHdQbiok2kkwiUo/8CYVGpsINtRgQOdjkkrzI+HYaWEAkCBBOZYkbJ6fKAibx2LBKpuKSSzp+IIElY0xNQdV0aiGIAYGKWIdUFH6AY9sarVYz6KjdLqngTiwJJnUCprKIC+AMoLVFm2aH/qaj9UW4ziMx4qDbkzZ96lGHkosIpaRSpYwdAjrLram0wsJkMj02MUIKhKMl4qfU03HawVUTTXjbNP3iNVNgfMM0lCYIH0v2kyCOM0+Jn0/aj+hrVgh48ZYYHC0SBwrrE4wDZVabAI0RRVAEguJYB1IfJsKraSCKomk4v3/t/fe4ZJcd53355xTqfPNd+ZOlkYjjbJsWZZkyTayjSNpgQVeBxA2xixgXpbglwf2Je67eMHLAjbL2qzBgMlgMA5IzhZWHuVRmJzn5nv7dnd1pXPO+0fV7ZmRZkYjaUYzI/X3efq5faurq+tU+Nbv/NLXsdhUgASrc3JG5OTX8xtq0JEq/IDHx8t6CnwylL4xzt9v/MIJrcEPHnoVdxy8kMXpGiw/GZefjgKcjsD4kA1kqEqGDvObVLUlKhYYBSawiAysAyIjv4GKqYBZFVGuxGgtkdIyVAmpejFLcYCrNNNLVeLYzS2GWCEcg3LyhltWC4QEP0iIQg+TSfxKgrWiIICcEHSmMFqgHEO65OU77pre01h6GhPlloZVFjwDRiBcg1dOiBcDhK+xqYQsf6KrSKBigUzycWHzi1iXiqezBR1YrGvym66b3wTL0xzr2pwsiqc6HCGA5WNmZWFZCPIpVHEj50/+/Desm9+gOBZS0RubUBbhmILEBCbJLRKMOEJ6lp4ls3xclaMRAnSW36XKMZiCRHVYkKbJyQ9lUZUUKQ1py+9N7WQiek+dp/flMK7NLZmCdIxnMW4xPlNcFywTT24xyVjm08CBLL+2yhkTI4uU3YRW4uNKQ5Q5tCOfqOuhEwmpzI+DtDnxpwJRHL/l34b895atOl3X+e91cmtLlwxC50QsU5Hvb2COECv5g0CkAutZrK9BgFtO8wdZ10FkAtUpzr1TWI+FVakKwrUCVCSwEnRF5+cnlYhY9PbR+PkBVV155LcLUtW+xZQ1KMvCez/cnwI/F3RfN8Vlf/2jbHvdp57xmbaGf/vytchYUErJD3xhdi9f2FaA6EAw7ZLWHVRxMnufS9BZ4dzVtndBWVncCFM+HccvfCQQUsVWM6RjUK4mSxxYdHOfiJeTVtZ1IJH509AIwpqCLL+x4/lSPtUQ9KYSpAIZS1Lf9OamIlQ52Tk2J4esuGYsEMt8vdghkRZVTTGpRHgmnxIlAitzK8JKgXFtblHowo8jLTITRx2kgqicwrcj8hvAuLmlI9Li5nBz8rQCTEUjS1luZWUy35YQWBdIJdbafJxecZOnxT5L0+s6aTMJyiAkSF/nVqARSMcglS2momAyiVQ2t1gjN3+wKIsX5DaxlBbHSQlbbm6BKpu/AJNKglpKakF0FSLLH3Iqzo8LFuQyqYl8uRX5MVKZ6J0na4+QJrIgvcRifJtPTyv5OMWSg5aWRCsGAk3Ni6m6MWUn4eGpVZQrETqQhDMVlGcoVyLC0Ed33Nxyc03+IC2sLeeATzKscRsxjsp3wNQlWaqQjqFcjjFGYi1UgoQ0yw2Fip+grWApDLBWcOn4JIlxmOuWWVdbYPvCKPPbhnBbEittbiSMpFyzcS/XDuyjqUtsCiZRwjCfVRlxlghkSl1GlGVcNBfWVERGTQoWDVzolFBC8kQS8lQ6xsPhWvZ0h9FWEGYeD91z4rK4PgGeBBve+Rhvkdcye+uruP/X/1dv+bQOMQq8LqgItJ9bMMCRJ7ifP8WtAhUKhMg/kxlkpfwzmQhkCsmAxZRNbsUAIia3gGT+/eUnq1CW4aE2ntKEictC2ABh8WoJrqvJMpnfqG0HkQhEVBCYKqYRatmXAiLOn6SmbHICTSQiyacUwgqsIbeefJO/NwKR5BetLWtIZD7tKawe0VE4HZmPX4EVNh9vmo9RWIFxbM/SRVJYzsWxiHIGto7F6YiCDEEmIHTuFNcVi4gkJnNBWWR4lHW+TG6OBSl601MKC4GsmC4lAuHlliA2J1FrAS0wVmGtoVzNm2VYC1oXCe2VjFoQ9/yIFzRmWUpKNJOA4bGp/CeMwpG5r3AuqtBJPNZetMBsWCHNFGPVNs04QEnDeDnXp24mJRxhGC8vYayk4sRcU93HgWSItvZZH8wyoEIGVMiEs0AgNIeyBld5c4ypMm0bUxYeCyaiKlx8cewtrYREr33uVU8Ge9o7mCsh0esNPzN+A7d97RX4c4JEWVasXODvL7ztOG3opo+zFReO6us+dtQlsNkrs9lr892Vx2mbiBmd8Wgyxpb6hhPuU58ATwajsQZG/vwB3v65t6Anhvn4Z/43f7t0FSoqpq0WVJKTnnXyaRoF2WFAFQSwfC3JDPwFQAiMC/GgxZQMMpQ43WJq7OSWkMhyBzOALuXTz9m5GjZ0QFjcxfzsJ0aQFk5rnNyCVJEgUzlZOQtO7kvxDTgGx9fYUtabuklX49cjurNlVC2lUomIYjf3mylDlkmMlpRKCYPlLp0k95cOlUJmOhWsFaSDijRVOI6m7KeEsUsSu9SqXVKtiCOXNSOLWCtQ0rCyvETdjVhMSoz4bepOxFRcZ8ANqaq4p27mCE1sHDKjGPeXGPOWWMgqrHQXqamI+azKVaW9rHfaLBqHRRMwICMm1IlrvdVRN/akhgfiNby5vK+3XJ6gp9zR35NIzHJwpTCfDeaY9xqLQqB7gZljv7+83tH/Qy4NYNjzjOV503vFZW4XJfJOKg2R+6lPpvr2fPpbnqkcBCUk/33lHXx++Aqqez10IKh78Wlvxf9w4vH7h97Olj1rueTnnuSuE6zXJ8BTgI1jssOTiJlZfuz7foJtP1KilBwhNu3lVmBWtnnEzLHIWGLKhSO87eYE6Jl8OpPK3GLxTO40jhRIyCoW4xVP6+J6UB2JLHKh1q2a5afWfY2WCRh1lhiWeZ1jILJexHQ5/0oj8DBIYYmsQmEJikimLG5IU6znYlDFei4GrxB1OmZ7VuAJgyuO6E+7Io/09oIxRWS2F3xB4BbBGo0gOMrxFRRpI6YY6jJRHB3sWSYOivVcRC/1xBWyR0K5UFCVVTanHYl3yjdUXRrWOYcpy3NDNvIIXrppULd3h/J7oPDTra0uPOt3mqaLsfaUiwbu617A/Q9tpLZDYVqtE67XJ8DnAJtlcO+jXBJdgkg1MzeM0B0TdMcMYkXE1WsO8MbhJwiNz73N9TjCcEXtIBv9KZQwuCIPT6W91IqMjvH5yuKlPDI3ga80ShoG/ZBIuzjC0M1cJlt52c+ta77Fm8vTaCyBcPBFLy57Ng7HOYcTCQM923fK4sVJN2qaLvOFrkWruAaGZEZFSPZribGCyzznuIG30CSENiUQikNaM6krvY4o07pDx1giK6lJw6jyj7o2zh2kVvPhucv42vQmVEdi3HzW5Mpn78wUCIdTmZFvSzv8Q/MV/MVT11F/SrHqcwc5WZP8PgE+D5hH8vKbUSHIBkrsfXuZJHJYiMus92ZxRcZsWiU0Hhv9Kb63euKWPKntcIX3FbYPjlCRue9pQHaJrNOzvu4JN3L34gbqKnpWTZM+njtim/JgLNEIJlR4SoLdz+c37onqLJoyntDsSUZQWC7wp6jJiEejNbR1QFR5knHVJrKS0Dq0TEAgUjQOHVPJtWZ6kpL5dSXJrfF54+DZE8tHnm1IBNeWd9McKrGrNo5xc5/x8RoiPB3PRugX/flP4C0JVATBnGV8OqO0f55s996Tfq9PgC8A+vFtCGDlwKtY2OSxK1nBn/g3c2F1liGnQ9XGzOkq29LDvUjV0+EKxWavzEa3ddST/1iLZEI9gis0D4br+O7K1jM/sJcZIpuxJdqEKzTaP3RKgt3P5zd2JWPMZjVcoZlOasjCJeDLlD3RCItpmXG3ScfN8z8PpoNMZQ2GVIdRZwklDMZKXJExrNos+0kaMqCGwRBTFgLnHJ0RKCF5SznmIvcOvrJiE/HuYcRz0zAC4JEk4ru+8lPHLNv8kR3omZljlp1K6KdPgKcB/hfuY+XUZXjNOg83LyK7XvH9K+6nImMi4zKjS2xw7Ekvy5NVn2xwq7y5+jifmLuJJ5KQzV6/ecLphLGW0HgEImNeV0lt87SXIqpC2GchHWex6AJUc6Neu6bYOHQyD11kA1dEgic0rtCMOktc5M5SkabnN805OrcE831VrFSyF7mNbXpOToMBLnSrrKi12COHQcCIf/xmBdoa9mUhH5l+A08tjQFgrGDP4WE2vfdYafDn2964T4CnCXbLVoa2wMDrrmHmqgoPddZSVTFvrT/Mpa7GFS9s6jqhFG9vPMxfLFzPh0bvOeXa1T5ODalxaJoyvkxpm+nT3qGnKgNWuQs8wHr2dQbxVYYjNcrLfcNd7TETVampLmucJVwsCQuscJpc7C6dksj8Mmm3TURoNWPq3CRAgKl2FZXm2UmxOZaGfmf+QgDaOuDLhy8m+O+DOF/dAuQ270b2nbb96BPgaYb8xoMM7FnDP/7nV4OwxDc7tOpbeW2QvCCroioDrvMj9pUO8Zn2Ot5dmzztqQMvZxgENRWxyp2nYw1lm5K3Csjz4U7Hsb7UbbKzfAi/qNVqqFzf4snuSmKjCFMXT+ieuySfihuWLb1TRVUGVMktqHPxGpnVHRb2DVKP8rSwx+ZXMruyw67MIzQ+X778SK+/6om11U4LTokAC+nKFrmlmVlrr33a5w3gL4G1xTZ/11r7p8VnnyRXcJu21l5+nG3/PPA7wKi1dlYIsR54AniqWOVua+0HinVfCfwZUAK+QC7Afs7V8mV793PRz+xHOA4rH25yqdsktd4LnlaVpccP1aa4de8buLG0m03uuZa6cX6iLgPeP7gFCYyoCtNa8OVujfXOAgezOuvdxdNyrF0hWOvOERqPdjH1nc8qHOo2qDgJrxzZz+uCaZR4pvW5XHs+cpJ8v6fjXCQ/bQ033/0BgsOK8IYOH7r6NkadJa776k9z0Q8/8KLvz3M5Qt9mrb366eRX4CeBx621VwGvBz4iRC+34M+Atxxvg0KINcCb4Bk27c7it65eJr8C/wt4P3BR8Truds8V2Czjc5cNUpbqtHZ2KamUD+78j8Q2ffaV+3hWKCEZU5UeuTSkx55klDvCjTwcrWVGP393Q2jyqGzbRDSNJbIuofbZHw1yKB6gpiKurh9gfWmOa6u7qZ8gyl+VwXMiv3MVP7Dr20n3VYgv7vLzV3+J9zYm+di+W84K+cHpa4lvgZoQQpDb6/OQp99Ya79Z/H88/B7wi8CzWnFCiJVA3Vp7V2H1/Tnw3S981888fmDD63jLuuv49ZlLn/FZajWPJKcukykRXF3bR5S5fPDga0+LrkhqNZ8P++k1yziQxaxwmgyokJqMCJ5PqLJAbDOeSEL2Z3kAY4Vq0nDyahcpDKH2UMLQcEKUsCyY48s+nu94KI55x7a3sn1ulKFL5rhm/X52RmO8a8/r2XPXmrO2X6dKgBa4XQixRQjx/uN8/lFgM3AIeJR8anrSKLQQ4juBg9bah4/z8QYhxINCiG8IIW4ulq0iF1BfxoFi2fG2/X4hxP1CiPtTzowI+nOBTRNsmnDPG1dx1b0/xJY44Ykk5FuR4VemX8n7tr77uOR4PCgheV9jF29c8SRb51fy69OvZd9JtFVPhmnd4e/aDf7nwiY+O38Nn+2USe3plQs9HyGBmuwSyBRX6F5vwVNBanWetGwS2ibCFZKKNKxxJGudMuucLqPOEo40ZEUBuS9TppM6D3XWPiN1Y1Z3aJru81YxXLZAU6vZEid8KzJ8KzIvmiBXaBJ+Z/5CfKG5cWgXQ5WQ1bVFEuNw+75LeOyvL+WC//bIi7Ivx8OpBkFeY609JIQYA74khHiysOyW8WZysfJbgAuLde6w1h43A1gIUQZ+meNrCR8G1lpr5wqf3z8LIS7j+Hngx70yrbUfBz4OeTusUxrhiwA9M8Oqn6/yrnf934zecBgpLK7SjJQ7fHNmI9ND9520pnMZvnD5ycEH2BmOsnVxJXdW11ArHzylyOXtocuD3fXMZxVaWcBkt0ZmFa3ER4kreaS7SFkmXBwc4kZ//mWpV7LaKTGqWrTMAm4gqD3NfdE2ERKJEuKYVBNtDQsmYkZLUiuRIi8lbJkSawNVdJ/OK4FcoRlwQhpOl1D7TMV1Kk78DIukZSw1aVBS9n5jWoeUpaIhS88a6Fh2vbhCcbln0Da3Zv0XmJXwbDictXk8bfBq33Br4xEaMqCpSzjSsHshbwg88MUKI59/Ct05uXTlmcQpEWAhfI61dloI8RngOuBoArwV+O1iarpDCLEbuAS49wSbvBDYADycz5pZDTwghLjOWjsJudlmrd0ihNgJbCK3+FYftY3V5BbneQW9YzcX/Lkl+cog7dU++98Wc8XaQ6yvztM4gZ+wbSJ2ZbBoAl7h5dUgdRlQUimL3RJ/efh6Vqy5jdeXnmkl7E7bbE8HeTxeRTMrs6c7TDMJSIxDqnMLZLTUZr5bRmLZHY7QynwekGt5sDrJ99Qf5DLv5ZVy4wqFKxQlcXxyKRXu7SUT4R+VaqLEkdYFHeuirGVUdSmrLtqWmdJdWsalImOGnA4tHfTy/vIuM5LG03yAo+pIaVxsU2Z0TMtIalL0fvNU4Qv3lMrJXghCk5CiKUvFFd4SJVGiJOD3Fzaysz3CYrfE4kyVidsdBr65i2x27tk3egbxrAQohKgA0lrbKt5/O/AbT1ttH/AG4A4hxDhwMZw4fm2tfRQYO+o39gDXFlHgUWDeWquFEBeQBzt2WWvnhRAtIcT1wD3Ae4A/fA5jPWeQ7dqD3LWHwZFhEBcx/8Nl3jT6OL5wuTvS3BlexLsaj/asQY1lXlf4Wnszd8mEEadFaHx2Lo0QZ4pDS3U+NfMaopF7eW2QV5Tsy7psTcaYzCbYFw+zozPKUpLfXMYKoswlNZKqm/TSMipOzFNLY7QTD19p2qlPWSa4tUdflhHnE5HL8nL3OJ8HQlEWGciY1ErGCwLL0IRWEFkHV2SUZe4DrMkIjSS2DhL7jEyB5dLH1GpmdMyOtE5kXTa6Z2YK+0JSZ3anbQIBQ8rHQdEorNbUam6bupTDrRqthTITtzs0vraT7GmVG2cDp2IBjgOfKSw1B/gra+2/CSE+AGCt/WPgN4E/E0I8Sv6M+ZC1dhZACPHX5JHhESHEAeBXrbX/5yS/91rgN4QQGXnazQestctBlJ/gSBrMF4vXeQs9O8fgbZb9qy5h1w+O8nX/IO/9lw8gV0TMX1rhvYN3scGtUhYe46qNxPLZg1dgrCCMPeIkP33W1WyZXE0n8zg4vJUBFTKTrWVLaz2ZlTSTgLCoMlguPD9aG2MurpAZSSfzmQ9LuWXoJyzGJe5vrsMVmrTy5MvOEnw2nCitKRAUnXc0VZnn8KVWUxaWSKYsGosUlpqIGHWWeoJG7kmCLanVtIxkMmsUvskzU+4W2+w5N4fYmbZZ7fgYIBDyuBUoC1GJ1lSV0TsdGl96Er3w7B1gXgw8KwFaa3cBVx1n+R8f9f4Qx/fnYa39oVP4jfVHvf9H4B9PsN79wDNyCc9n6Ll5Vn/sIT478mr+qXEtF3/oAWZ/5JV8eukGxm9e4r2N7ZSlxzrH4abqU3xeX8Z8s4JuuwjP5G3rjcAYycMHV7F7cZiVtSXGgxaHu3Vi7RBnDkoaPKkxVvR68mEkiVG0u/kFPxnlCaiOzNtjpUYyF1W4a/ECUqtYPbD1JV+Bklp9yuSirX3GlHK5hVdZqryDSQGJYEA6QEZLdhlWbVyR5dFmmTCsOtRkChzf0naFIhAJNdVlhVri6fXipwvmlCpoc+xM2/gCDuoqI6rLhcdpIqGtYVuasNCsMPiQw/DfPoiOTj3r4UyjXwlyDsCEIRd8KG/ZaIHhT9yF072eT699Fa+6ZBfXB7kz+1q/zetW7uAL0aWEoZO3fgd0qjCpQgOLWuI7GVUnJtWKbupS9Y6NhAuRWyCpFaSFiFPNj8mMouQWTnInQ5t8ChNph33xEPfHVW4KonO2xvR0YMFEDMvjN654OmKb4Vunt662puhjmCOyGRKJKxRdm5BaQ00qRlWXmkyoiYxR5VASJdo2pnGSnoSuUIwrD8MsI+rMNTs4lW5D2hraNubfOptZ783wllKIEsd/MLZtzH89+DZKW8qM/vFdPVGvcwXnXqp4HwA0/vJu4i+M8aezN/VSGRqyxG+N38u6oQWEa3C8LBfUMgLhGKSrMVowvVjlqflREqOouAmpUbm2xFFwhMGRBlcahkohFSdBCkPFTXL5j8zpTZONlUxHNf6teSUPn7vdlk4LOuaZN+hyasvRqSjaGgZV+RiiVEIe0/05NJpZnaewzOiMeWNyEhSWNcqw2ilRlQFKyFOyrH3hMK4c4ueZEnM6ENuUaR1yf1zlJwf28/ZydNKHxazW3H/HJaz8yJ25xsA5hr4q3DmOuffdwHU//iB/tOru3rLYplx//7vRVpAkDmmcN4tc1udAWKRjCUoJ64fmqbsRjtQsJSUi7fR0LbSV+CpjwOsyG1XQVhJnDp3EpeRm+E5GyUkJVEpiHDqpx2UDh/mDifvO4hE5c1jQIR2bTwIbUhEa3ZMABRiQTs9COl63ldAktG1KYo90/glt3g07NA6+0MRWUZYZCktDivOquuNA1mZHWj9utsHx0DYRH5l7RU9y9mziHvuV46rC9S3AcxzDf3IX9/zJNWxLj+RK+cLlZy7+Kk4hb6lcncs2FlKPNlHorqKzUGLH9AhT3RqLSZlmodMLUHYSVpabXNk4iCs1UebSjAJakU+SOSxFPq3YJ9ZOj/wWwhIPza3mY4tnL3P/TMIVkpaRbE8bfKM7zJ3RBA/FA0xpj9RSCL/nE9wpHbOgQ9rmiD/LFw5V4WKAvVmJKe3SsQ6hcVg0JfZmg2xNJpjXAYvGIzyB8bGgQ3am7d62Y5ue1bLHbWmHe+MUA6dMfgDzJuP2w5ecuR07Dej7AM8DjHziXt43+bP800d/r2cx/Eh9mpkL7ucvdlxHHLk4rsZxNemyXCSAsKSxw6GFBl4hTF32UqRvGfJDLqseZrU3z2NLEyxFPpnJu8mlqUJKSyt1sFbgVzOGgw6u1DjS8ERnAgb2n7XjcSagreGQ1twXrWOtO48nNEocudldAWXpEtqEltYsGgctMsCg6fZ0SlpGsz8rczAbLAIdmhWqw5BaYkZ7TDhN1hXi4e5xAhkLOqQsXepS9aaWL6bPNbWarUnGQd3grvZF1FTEd9Ye5jr/WDW2Z4O2ho/N3UTtOw48hzqaFx99AjwfYDTlLzzED77np/nypz/ZW/zBwSeZXlvnKwc20en6GJ3r2KI0UmmkzAkwifLTPFANcaVBYom0w7bOOHujYRKtaJQiuml+gWsjSWKHLFFIaej4HpmRtBIfAXSCsz+lOV1IraZpIgywKx2iqStIb5aO9qnIGCUMkXVoGg3EeEIQ2lz8KS1EoA5lttCDs4TWY9GUiYxLJF0mswEAhmWXmkxJrSQ0mqET6Hacrcqb1GoeTAyPRmu4t7UBYyUfGPsaG11N9XlUjTyUZDyxtIKnfn8tm/7Tieohzj76BHiewKYJ/t55fnXmMn59NG+L7wuXXxj9d7ra46t7LyKNnVzcW1iEAM/LyFIH3XGIug4tZRivtxgOOkhhORg2aCU+qVZok7tHSm7G6oFFWonPQruMowypzoMoVTdhMAjxZEbbnP/6JNoa2ibmkFYsmoCdyRg11SU0PjNZjVQpApkSCZeO8VmUMRWRkiBRWFxh6FiHyCpC45NYRYqipUtE1qOlSyzqMqlVTMqYiowZlh0asnuM3OXZQGp1T8YztAn/Hg3yz3OvJLOStw49wvXBQcaVj3+C6O6JcCBrszcrM5mN8JqhnSxeeG6nTfUJ8DyCmZzmq79+E6/88G6+s5JXAoypCh8c+yqplfz7/guIuh4oi9aSKHIxqcwDI44hilzCkospCbDQTnzmliq4riZwMzItc/lLpfGUxnczHGXwnYyKm+DJDElesrU/M2w+zw3Brk2Y1HmJYWh8QuMxrNocTAeJrEtiFXI54iogsm4u+ykMoyohtRAal2ldo2VKRMZFk6u7aSRzuspsWuOgGWTMW2KF06QmIzwhkIg8beY41R8vBlyhmNURezOXR+N13LG4CYPgp8a/wjonZUQ9tyasTdPlQAbf6m7i8XCCxDgMOCEDQfccaEdyYvQJ8DyCCUMq//og/2XNj/CLQ3DPez9CQ5bY5FZ4/+g3SIzDPQfW5YnRqUOWOFidR4UxAt1ymTZ14tSh6ickRS2wMQJjIckU2gq0kVgrEML2cgY9mZEYhzDzMAimdJXNzyFp9lxEag0t69IyAal1CLWP62kim09NDZLIuL1QobYSLSSe0LQKLebI5tPchaxCZFyUMPgyRWGJjMuBaJDYKHyZMeq08NBnPfK4LLG5Iw14KFrLfFblxsYO1nszvNL3eC5J1g/FMZF16Ngq94cXcM/CevYvDWIsrKy16KTeGUrZPj3oE+B5BpsmrPj9OwG4etVP89U3/U82uFVe6XvcOnYHEstDMxO0jEDHXp5ZLQAjEInAZh4LqSSqxVSChHKQJ/ZlWmGKxOdWGuC6Ga7SZFrSiv18HSPRRpIaxZIJgBenpdKZgszLO2npEh3jk1qFKzICkWKsLKayTqHEpvFlXrIWiJSO9QhEyqKusJBVOJw0SIxDSSYMuiGu0ITGIzaKzChcoQlEypCKCAqL7/noGL9QhCbhy92BYmruEMiUV1d28Gq/85xcGssW3x3hJYTGYzqpsWVuLQdnB8iWcsoLh33KQczImRrMaUCfAM9jbHrf/XzHP/04f/+KT7DZK/PaAAZWfJk/FG/g3sNrSdtePv2VNidCKXKJiVgRuy5KGQI3w1GaJFN5eRzQjT2szcvrUq1IMockUwhhSbXCVZpFXeZ8J0Bj8w7NM1md+ayCK3LrTwlDahVTaZ3FtEQn85HCMOB2qTsRNRXRUCE1FTGVNphOaszGVTIrqTm5tedKTWoVQ15IYhzG3SbDqk1N2LPq/3sihY/tu4XRUps3Dj3O60q7Ch3kUyO/2KZENuPhpMRdnYs4GA/gCs1jixPsnxqEGZ+gKQuXQQk9KM5pAjzb1ngfLxCr/sNWfuCh97I1ySsOrvQC/svK27hq/GBu+WUC4RmEb7C+wSqL0ALTceg0SywslUkyRT2IGau28d0MpQxJ4hBGHmma2yjaSFrtEq3pKmHkE8jzvx3/vDE8Hq3icNJgIcujr7vjMfbGIxyMB9gfDnIwHGA2qrCYlJmNqxyMBjicNNgdj3IgGWJXd5TdnWEWkxJh5tHJPBazMu0st5oHnZABJ2TYaVOWMZGFwzphyUTPu8np80FsU2Z1h79ZeDXbdq9gZdDkHZXdpywCnweMIg5lMY8lPrcvXcHeaJhWFqCRubukuLZEBjIBp6nIZvtBkD7OMFZ+9xO8449/hv/9xj/lUm+BtU6V3139Rd46u4LF7UMY6YCvEW6ucWY1vSJ+awSdrp9XfqiMKHGR0iCERKn8BlXS4CiN1hIyQTmIeUd5hjNVkP9ioWMd5rMqqVV5f0SrWEjKJMZhKQ1IjCLVilg7aJunuQBkKp/WKgyxcZgOa7hKU3Lyh4IjNCWVvzcIyiohsQoPQ4rgUFZjTsZc4HTPeCXIcgL1PbHLPy3cwO27L6E6HHJz7alT+u3lut95rWkal0k9zL+3N3H//FouqM1xVW0/xkqyWp4psJMRujUPkQicUOK0z20bq0+ALxFs+sC9fITLmH3/Ddz5q3/AmKpwxzV/yZWt9+McKJHVgVKGLOXNDqwRedVIKolTj8nUoVKJ8BxNzU1ZJMCY/MkOkGqF52eoFQnrGgunVeTpbCEQmglvgbKKmU7qxMYpSgTzp0PDjciMwiBQwiCFwSCIjYMrNUtZiQE3ZKTUoZN5dDMXRxpqbkRb+3S1y7DbQQuJKRqfDkhoyYiyyHq+wDOF2KbcFfl8rb2Z++bX0c1c1g/P870rHuD6YIYTdZ5ZxnJX54PpGBWZUJExe5IRZpIq66rzTPiLDKk2Slg0gtc2nmRmZZ3ptM5cUuWJ5ji7n1p5Rsf4QtEnwJcYRj5+F2/b8QE+9We/z2qnyo7X/xm37ruZrz92MViBiSVCFbn5y/5BIzBa0Foq4QUpiZffmGmq8P0U383QJm+jVS9FfPfYg2dxhKcPQxIu8iZZNGUCkbKltR5jBY7MLThfZgROSjdzkcIy6HWRwpJZyYS3SFVFTCd16l6XwEnzCLkVzMUVPKlpZzkJjvstOsYnsg5lYRmSCQNSntE8yqbpclc0wEcP3MLj+1ZSqsTUyxHra/O8qbKDsZOkuexO2zwQTwB19iYjTKV11vpz1GSXxzqr2dse4rLGYa4t7yayLtpK1rjz3FI6xIhqsjXp8i9LV7PHGToFubOziz4BvgThfO0Bfuxt7+OLt/8NAH+y5hv8P16bL++/mMXZKjaWoIpedmkxRXHBhg5x6JCUMqRr0F2HZCGgXc6o1bt4TkbNi3lPffbsDe40Yt7A/nSYsoxp6jIbSrNMJnWksHQyv2cR+k6GIzQdnVu9xgrmkipNWWI+KRNpF0fkFTZd7ZJqRclJMVYw3a3lnbVVQmoVc2aOQKRc4R1XLucFY0GH3BMP8m/Na3l4fhWH5hvIIi/0yuFD/PbKrzB4AvLT1vClbolHowvZHw0x7HY4FDc4GA5w0BtgxG9zIBxg3/wgdS+iPBizlAXsiFZgENzdvpDvHniANY5mnT/LI+4qrGvY9ifXsul995+R8b5Q9AnwpQhrMY9v521v/I/82uc/zXW+y6+O3UVZJfxd8griydzhbysaWc7yLjIFRCqw1kEXVqIINF6QoqSh4qW8YezJszKkMwFt8zw+DETGZdxtMpdWWOUvso8hEuNQcRJG/A4lmRAbl4oT99TiXKFppiXaqU/VzdN9S06KJzOcIqKeGYknNXNJlVB7zGY1VnvzXOQ2T9MY8hb2bROxN7Pc1r6cOxcuoJUErK/Nc8PIbq6r7mJRl/me6l4a8pmldtoa9mUhvzfzbQD4MuOhudVIYQmL8sh24pNZyXhpialKlf2tAf5l4RWs8JsciAd5cHYVUeLyqupubg4yVlcnuaW0ly8Nr+fDW998WsZ6JtAnwJcqjEY/sZ1feef7MJ7i5//k0/zY4D1cdtUBfrf87cwcGkAok3eQMQKbSJAW64DsSqwClMUqi84UmZGsrS1wa+MRns13dL5ACUtiHQ4kQxyIBjEILijNUJNdNIJmVmbGVpFYfJlRUilKGFa6i4TGRyPwZMZI0CYziuVWict9FCsq4emJfsv5gKcDy5Uk25KQL3c2c09zA/NxGUcaxstLrC3Nc1npADcFUwRCUT1Bz8G2jXk0GSOzqhf8me+UGa21aQQRqVYETkrD7TLgdql6CXunh7iTDayrL7B3aZC5ZoUVgy22hqt4yDvMK32PlY7LWyp7+caqvcfo2Z5LOKUQjRBijxDiUSHEQ0KIZ9iyQoiGEOJfhRAPCyG2CiFuPeqzTwohpoUQj51g2z8vhLBCiJHi/zcV+sOPFn9vOWrdrwshnir246FCprOPE8FaxJ0Po77+AL/xy7fyeDLI28pT/NbF/8w7X3U3F62eBlt0j9F5L0FR0ljfYt08ZQYjyLoOnVbA4bB+tkd0WqGtoKlLTMYNSipBW4nC0NQVajLP9wOIjUNo8umvxBLIFL+wAgfcLquDRcaCFlU37pUKApRUiiwqaaQwDDohDRUyoEIC8cLk2bQ13B3DP7ZH+OT8a/ja3CYOh/Wc/IIW434LiWUmqzMoS8f1N2pr2Jm2+XI4jkFyfW0H68tzeFIzUu2wqtKk4iRUvZhV5SYTfhNjBcYKslQxt1jlqdkxmp0SadflwNQgn9t7GX8xfyNPJHmOaEN6XFg+++JHJ8JzsQC/bVno6Dj4SeBxa+13FKpuTwkhPm2tTchFjD4K/PnTvySEWAO8iVxVbhmzwHcUOsSXA7dxrAD6OwttkD6eA2p/ezc/t+bH+L53f52fGLqPK7y7uC2Y4hPpTRw6PIhIFbboJ0hJ54SYiYIYwWQO+2cG+cPR63rNGM53GASpcXCkZsTNxeUPpwOkRjHmLVGWuWJeZhVlmVBTEa7I+wEqDIFMMe4SofFwpaarj3R3caVGCnPMcldmvWTr5AU0Ik6t5puRx78svIJD3QatJCCzkoqbMB60GPI6qKJM8VWlXajjdJ3ZnbaZ0iV2puvYHY+y2psnsQ41FeHLjKoXE2kHg6DuRtTcCFWQ+HipxeFyHWMES0slGo2QYDilHfpkmWJPe5hHayvZ7DXR1hY5ludmNOR0TYEtUBO5dFwVmAcyAGvtN4UQ60/wvd8DfhH4l96GrD06xLgVCIQQvrX2XK6pPi8w8bt38g+8nk9dfgPvuPwRfmr06+xdOcI/x1eyGNXziLAWqGqKjpyc/ITtldKlSx5/t+0VrHQXub60i6t9/2wP6QUhtRKDYNAJGXQ6hMZjNq7iy4y2DqgWZFASKSNuuyCv/JaRwuKKDF+mNHU+taw7ESWVFlbSkcmVLv6PixZZc1mV+HlkES3n5D2VOvzp1M0cDuukWjEQdGmolIpzROK0qmKuKu8t+vgdi7aJuC9exbZoJZFx8443xqWpy2grqbkRzTSgmZQY9EMGvC7zSZn5pMyF5VlqbsTKgSWGgw6TnTp1P+Li2hS+zDgQDXCwM8BnZ6/hCu8LjCrL7s4wuV1z7uFUCdACt4s8Kex/W2s//rTPPwp8llyovAb8gLUnT3MXQnwncNBauyyOfjx8L/Dg08jvT4UQmlw57rfsS72n/2nGxO/mdcR3/egNdN7vc/PANl63ege3p5cQdTxsljdFxZJHipdriaWFTBDNlPjv97+Z6y/czXtXfJOL3CYrVemsdDR5IUhtTmbLU9lcllLTdgLKMqGZlYra4Nw6HHLatHSJ2bRGQ3VRGELjExuX1Cg0krLKvYCRcXtTRWMlfmENplbl6wtFZJ/b8dLWsGC6PJzUuX3pCrbOrGC81qLhdbm0PokrNAtZuVd3fFV5L28vP1N9LbWavZllbzLCdFJj0A1Z7c1TljEaSTMrs9afp5UGRNplxO/gCM1sVKUZBywmZVqJz6Af8q7xu1DC8H8O3cyw2+HWgS38U3szf7j/9ezaO8Yfurfw+sYT7G0OMXSeE+BriinpGPAlIcST1tpvHvX5m4GHgFuAC4t17rDWHjfWL4QoA7/MCaQ0i3UuAz78tHXeaa09KISokRPguzn+1Pr9wPsBAs5Og8lzHUOfvIt926/hwx/cwPVr9vDG9U9xx8ELWZyrolN5ZAq8TH6SnsfYth3uevQiHji4mls2bOe9I9/kYjd90foDHk+P47liVndxhcdVwT5mdJ1ApAyoTuEDLBMXlSFj3hIjzlIuE2rz6o+FrIIv84YJocn7u8Qmv5WWp57LgZCSSo6JHIfGK9JhSoQmOeWE8iUT8UA8wG3NK1jKSqysL7GpPk1mFJtLh/J9E0NExuWG6vbjkh9A28RsT3PX+QWlGdZ7s0w4C0UPxDquzEXbHakZDdo4QpNZxZrKAoGqsvXwSpKFAHvBNAbJemeeJ6fHmQpr3FjZzjfmN5EequB1BF80V/ClyiVkHZehF3S2zhxOiQAL3V+stdNCiM8A1wFHE+CtwG8X1tgOIcRu4BLgRK1gLwQ2AMvW32rgASHEddbaSSHEauAzwHustTuP2o+Dxd+WEOKviv14BgEWFurHIRdFOpUxvhwh73iQtXfA9IpxVv3bIt+/4UFuL21mcrFG3HVywvMLrZFM9qbIopT7weKWzxfvu5JvTWzgJzZ9k3dUn2JU+TioU5KVfD5IrebBWHL9C+TamnQYJ8EVhorMJxhDMiJ181tiH0OUZEyofXbrMVKr6Oq831+aqt5Us619EuPgyQyFQSPpahdjJamVVFVMVcXUVERLB4TGQ2GYzBrMOweflQC1NXRtwq7MYU86yvpgDl+m3NzIrc15XWVvPMJkUmeVv8j3DDx4UgH7QVVmhWpyUA4y6ixxkTvDkNQsipTIm+b+cAOTcYO5uIIjDbHOfaQ3DeyAGjw+uQJvRjE3XubLi5fl1TFGsNgp8Xfz17FjfgSrLEYJ/MMOMnURpXP3FnxWAhRCVABZkE6F3CL7jaettg94A3CHEGIcuBjYdaJtWmsfBXoRXCHEHuBaa+2sEGIA+DzwS9babx21jgMMFOu4wDuAL5/SKPs4KbLJKe6/1ufg31/B5tEpLh88zG3ZZrKOi1AW6Rh6qYJKoFyDJbdyrLIsTVf58Oxb+aOR13LLmu28e+jOoq/cmUHHetBT331+qMqAedNmRlcYliENmbLBrRKIOQ6mg6wPZnsW3kJaJjYujsx/UxbWYFe7tLIAicURGo0kM5KsmN5WVYwUlrb2Kat8ih0bB1do9iYjrHdnWf0sd+BXuj6PxxdQkxGvDPawxkmZ04IUyf5sgKaukFpFZhVvrT16UvJbxvWB4vpgP03TpWU0y0k5rsiIjMtUXKeZlCg5KXU3tyTvW9rAXFwmTRyUC93QzwMkKqYcJAxXQobcDjdN7GKLt4bDUwPototIBU5HgBDnpyymEOICcmsMcsL8K2vtfxVCfADAWvvHQogJ8mjvSvJJ029ba/+y+P5fA68HRoAp4Fettf/nab+xhyME+CvALwHbj1rl24EOudXpkmdXfRn4z9bak94J57ss5osN85U1/Ny62zmYDvKNxU08NrOSxcUKNlYI11BpdMkyRRI7vRxCx9UYfaSJquenjNXbvGH8KX5l5NxMnF7QIfPG0DIuHetyvc8xVuuCDnk4qbInHWEmqxFqHyUMzSwnGFnUSC9HeOtOHiVd9ge6QlOWuZW2NxqipFIuKR3udZ72ZcrN5W1cHxzfF/jNCL7WupRApoy7TS7yJplQIaFVPBSvZiptMOIsEVmPuuzy1sqhZ9UWfiIJeSBeQ012uT6YYVAGHNZdHohX8Hh3FZNJnUcXJnjF0H7a2mfA7TLitgCIjcvOcJQ7926A7RV0yfK61zzGXFxh68GVvHr9Hm4a2M6N5Z1sT8b4o32vZ9eOFYhUEEwprIS1v3nXWSPBE8li9nWB+zgGwvcRSjH1N2t4/8Z/p2UC7lnYwJMz473aYIAkcTBGIAS4rsZz8ilhqhVaS4wRSGkZrIZcM3yQnxv7Cmud8hmbGj9XtE1EZDWptbSsYJN7/OTuLXHCo/Fq5rNqLwVmNsurOlJ7ZCrsirz/XyvLpUeHvA4N1cUgOBQP4AjNKn8RbSVllTdVXeE2ucKb5MKiJdW07jCnBR+b+TYuLk8CcJE/SU12Sa3DkgmY11W0leyOR1nrz3FrfT8ScdLjGpqEeZPwje46PvLUGwH44Kav8T3VvTSN5qvhBTzRneCbkxcyuXeY9974TVKrWOku8mB7LbtaI8yHJVrtEtlMQPmQQvsQvGKeTtcji1yka6jXQr5t1XZurm/j/s4G/uqRVyHmPUqTEpnAyt879wiwXwnSxzGwcYwFVvzYAh/+jbfxnuvv5I3DT3BJbYonW+NsmxslTR1q5RghLHHqkGZ501TPyfCcjNi6aC0JvAQlLPfPrOEHpm9l48AsNwzs4rtqW1nrPDfNidMNjWVGCwySje6Jb4PUKgKRMuEuoIsW+WXpEWqPTuaDA2WZoITJy+PcnAiNFfl3ZcqEvwjkJDmbVnNLUSh0KimLGMkCd3TX81eH3k7VjZkoNfMGrCokEClzukrLlHBFnkc4k9VQwvCu2h5ccXJXQ2o121JLZEtsDfNytajj8RcHrmdqvMHlpf1c4E1ztb8fhWGLF/PttUe5J9zIzmiMew+vY/FwHdmViEzgdwRZCbRvWWqV8IMU4xp002WhXedbzgVcVdnH9zS28OSGcbZ0NxBOWNylc+PB93T0CbCP40JPTbP5d6vcPfxK9nxHhf/v+z/NOwfu4c6RC/jX6auYCqvEad4swFqBkppGKaLkpISpRyv28ByNFJaRcoe5bpmlNOArs5dwx8JGGm7ExvI031Z9/Li5amcagXCoyJiOkTgnaUzfkDFlGTOvqyQ2H29VRYQm7/yyJpjHWEm1qBpp6hILaYXYevk65OuXZVKkxOQWY2xcDsaDPNJejRKWXa1h5sIKXk2zPphj1FnCE5qO9QiPate/ylngMu8Q4yqlLE/+EMlTZyISPCZ1g8eWJlg7tMBhp87eqWE+OXcDV0ys46cmvsomT/Duwbt5Q30rV3nwQDfjcNQgjDxkN+/wrOsZugH1sTZSWIwVvGbVbhyh+fwTl2MSxeraIhd601zuCX5i4mv8SruBNpLFVgmEhJN7rF509AmwjxNCb98F2+HC5kX8zhP/F0vrJL/2w5/mP4xvYWc8zqPNCQ536iy0ysSJQ+Q7lJwUX2WIwOKrjNQoPJkxXAoJitKwSLvMRRW2N0e5w9vIeNDCkZrraru5sbSLzd6ZT11KixvRE3lyceME8o+eyMUjW7qERlCTEWURkzqKQafD1cE+Eqt64kjGyp5/MDYOs3GVy6qH8rxB6zGfVtjVGWExKdFOfKSwrKgsMRJ0WFVuUnMjZtNqT3+kpUuExkMKw0V+yFVeG184z0p+AAbLpFYoLIu6zGJU6ole6Y6DST12l4forPQoS8NGV7HO6eILj93xKIlRlIOE1rjEaoGwAsfL2DA4D0DZSfiPQ/fy+eZVKMdgYkWYeWxPVlAR+xlVHW4c283hqMFMcHYt/hOhT4B9PCv0E9tpPLGdofExfiN7J9qHG9/2CAAXNubYIyxzrQpR4pJ6CRKLNpKynxBmHolxqLoxjjBUnDzlpOmUmOlWmWrX2L84gAUeC1byjcYmLizP0nDymtlRZ4k1ziLrHPusTv7ngnmTMal9FBZNSuM4M7TdaZv9WZ25rEpkHQKR9VJmAAZUXu+aopjXVZq6hBSGhhP2psCO1MxnFfbpISajOgdaA4SJiy0ar/qOJgkUqyqLDLohLR2wlJVoOF2aWZmFrMygE3JxcJgrvMkTtrICei32lZBoa2iaiNS6pEVUeiDoMuq3WbmiyZOj4+xbGmRFtYW2kmndoSG9XlrO5tIhhpwOc1GFwEuxVtDq+mgtkcKwEJdZXV5kMmvwwPwaPD/DcTVDfkhkXPZkw5RFzEWlvEJkxG/z1Ok6eacRfQLs45Shp6ZZ9eFpEIJ7khswDmx6004Ggi7aCgIno+SkJFqRGkmkXWLtkBrLkN+h6uTk6EiNW/TPk8LSin3CxGVypsH0fJ17nXV4XkYtiBkuhawsNVkTLLDRn2LCXWCVarP+BQZUIitY1GWUMHSsx4DsMHZUi/jUah5NxpjMBmjrILfspCkqOhxi4+I6mp3JGKHxmc/ydJSyTDCIoiN0rhFyuNugm7mEqUszLCGlwZEGVxqUNGQ2jxzPplVaaUDNjfJqEgRr/XkuDQ5wqdtkZeE3bZouDyclXhsc6QjjCkVss1zs3EoMhtBaFJYOiiHVZnN9ks2lQ7ytspvFQfhqZxMHkiHmdZU5PUu1KHtc0CFX+Ad4VbCXHeEYu1rDOCLf16Vufiyml6qsqpT43NxV7D40ghekrBleZH15Diksk2mD1DqUZcz6YJa2Dtgmh3gRZVBOCX0C7OO5w1pW/XZeUveEfwNp3bLu0sO8ZnQXgUxZSMtMxXWW0oClKK8XXl81eDKjk/lFEwJFVuhsONJgbV51IoTFaEnU9Yi6HjMLNR43K7EWSuWE9UPzXFyb4ub6NlaoJjWZk2pFGmpCUpX+KZXludiej61jfO4zAVd5s9SkQiGY0hmH0rW9+ligJ5WZWtXrDrM7HqWtfZrpEeu0k3ksxGW6qUucOWRaUvETal6MKw1lN0EbSWIUjjQ9zeVDYYPMSgbc3LLcFEzy5vK+QrsjJ7/QJPx7NMh/2/E2Prn5L3KhdmBUOYRW0zEWJaAsBIEQec6iUaxwmrymuo1FXWZ/5jKhEi7xDzOb1dgbj/CqYC9KCEKTJ11H1uFKT/EdQw/yGftKDof1ZRkZmkmAtYLEKHYuDEPLJQGGgw5KGA4nA73KmOWmEvviIaw59zJO+gTYxwvC+v9yFwC7PnwDi7dM8tbBh7nRn6dlDV8P1/MX2Q00o6DXTbmrXWpuRGwU02GN+bCEqzRxnIu4+5WUsVobYwVLkU+rXcIUXau7oceT3RU8YVfwT8krqA11mKgv9SKnl5YPcUWwnzVOu9fnTQFKCFwEZekikcQ2pWlcDmaDLOpyL+F5e7yCi/xJApGyMxlnPqsSWycXPMcQW4fUNACYS3Mh9N2dYWa6VbqpSzfJa4C1lmgt8byMkpcyXmuxsrzUI/2G2yUxDrF2SEwuyLSYlDAIOmmeXrPam+e7KgepymPTc2ZNwsf238LMfeP8VuOtXFY9zIjT4sbSLgJhaVkHbN55piYdQuOyPV7BFcF+XuVP86+dTXxq7jVcXjnIgOqQWsVMUmN7OsqiWepFusdUm9QK3l5u44l7+cz8K7hvci3txRLd0Ofa9XsZ81tsTVYQjHdoVLpsrk6ykJWZjOoMeSGr/QW2hSuY7NbYOT/CCra9KNfkc0GfAPs4LbjgQ3exHbjr/bfyq7/wKa72p3lPfZb31P+Vton4zZnreXRxgljnimvdzGUp8hGAkhYhQDqWNFWEqYsrDfUgRklLJ8qtQasFbilFZwpjoTVfYVuzhONpHmEVX7CXoZShUoopeymZkQROxlDQ4cLqLG+oP04gUrbG63mkvZqpbj2P0joxK4MmqVW0dUBLB8zGVZppQGYUkXbyBGcj6SQexkKcunRDD+XovMjB5M0PpDT4fkbgpQhhGQy6BCoj1g6ZlflUUlgqKsERhqw4FgB1N2J1eZE/mLivOKrH1vtpa3gyGWTH3euo74UHDq+hPeIz6HW5zD9IKlMWTdCrR54xsGQCUuuwaMo8nJR4rLOKuhMRiITd8Rjb22PMRRU+Gd5EZiSONLxyYB8bgykSJhmVIXuSNawJFrhh004i43Jn80K+b+R+/mH2WtJU8Zr1u6k5EWUV81R7nKdmx0i1ouwnzM1XMZHDitXzL97F+BzQT4Tu44xAXn4J/+Nzn2Sje+yU9OPNCb4wfQX7mgO9QMmyg92Y3G7TmcQPUqpBHnBIMkU39ogjF9fLcN3cYtSZwiQKt5QSlBKMkWRZnoQNYE1enbLsdwrKCZ6j89QdesqgaCPxnAzfzfK8xiKZO0sVCIs1Ep3KvOrF1xgtsFoilMHx8ty/sp+gjSDTCt/NGAy6ZFZirGDQDwkzj7oX5c1RsbQzn8zI3oPgspFJ3jf+TV77tBrnZR8fwO3dCj9z7w9SuaeMMBDe2OFDV9/GqLNEIFK8IlF7yeQbudCdwxWGB6LVACzqMp/cfSOZllw+epilpMShdh1rBc12QJY4YAR+JcFzM7qRi+MY6uWIy4YmuXlgG67Q/OPUK8is4tEdq0FaLlgzw8b6DG8YeJyHOuvYFY6wKljMgyNv2nu6L63nhX4lSB9nB1Lxjkdn+b7aVsbUkcDFvqzNfdEEWzrr2dYe60VHAzdjvlnBcXROcFpgUgWJzKd2AzGlUoKxgjh2cF3NWL3dSz0xVpDoPBG57KZ0Eg8hLEmmCCOfWjkizRTaClTxnSjJLTDH0ZS8lCh1sFbkzQBShyzNNW8h91Eqx/RI1nU1rtIMlLtEmUOcOpS8lKqbMBuWkQI2D09ibO7zM8V2F+MSY6UW3zX8EN9ZWTih3/LGn/0Atb+9u/e/s34tT/zsBLaectUFB/jHjV9ECcnftAZ5KlrJQlamlQZUnJib6ttY68zzZLKSjvEZUCH3tTfQTEtcVdvPbFqjq11W+Yt8ceoylMh9sdt2rES1FMYFYcCUDLKa4rgaKS2NSpdNg9P81IqvcJ3v8rYr34CenTsz189pQp8A+zhrkJUKyJz4Lvxqwu9N3IkrVC9tI7YZB3TKvA4YUhEfnXk9X9t/Ee3ZSq8pq4glTihJR1LcSooxEmtheLDN2voChzt1ksyh5Ka5TzFzWF1bZKZbJcocBOCqPDE7ynLPjytNjzC1kfhOxopK3sEtM4pu5iKEJSqstDh1kNJSL+VJz6aIfEthiTOHMHHxHE3JTWl2AxYm68hSxorRXABpTW2RpSTgPRN38brSfkZU6YRlbG977fdgp2YxnRDMscnDzsoVNP+0zAWNWa6uHeCWyhPsTEf5xtLFPNUcZzYsY61gRa3FqnKTkkoYdMNeuZ62kqm4zuML4wjg6uGDTMdVEu3w1PQYgZdLoS62SwxUu4yUO+z77AYmPraFXu9OKfMGB1JiWq3TfcmcdvQJsI9zAs6a1djA44mfHeHOd/yPXmrH8lRPImjbmNBovtpdx33tDexpD7NjboTwYBXrG3AsIlRYx1IdbyOEpb1UQjmGwUaHspuyEJYoeWkvdaNRiqh6MdrKnq+r5KSUndwXl5g8iRfAEYbRoE3d6VJSKVNxnf2dvFV+w+tSdlIyK/GKqo7MKA6HdZYiHynAWFhcrGDaLqqe8op1+9hQmePnRr6FBGrSe0Y/w9Ak/OHCZXzje6/Mj8f2XSeumxUCZ2IlSMnjv7aCizccZl11nvun1jA/VUd0FUiwjgFlKQ92iSMPhM07fccSPENQj7lm4gDvXfFNnown+MK3XwlZlhMb5L8vBCiFXWqhl86MlOeLgT4B9nFOQW3cQLR+iLkrfD7xwd8/Yev2lskILSwaj63xBP82dwWPTE3QaQa4kx7peIryNbrlgmeoDHRzQlwoI5ShMRCytFRi5WiTsXKLQ+0GSaaoBzFDQYdA5RacLzMWkhILcZlO4jFS7rCmskBVxSxlpSIgIml4ETUnYpW/yJOdFTSTvHPybFih3fUJvJTRSofEKOY6ZW5atZufG/syZUGP7I/G4azNLxx4B4d+bSNOO0Xc+fBzO44Xb+SJ/6fB4HCuadJcKmPnPWQq0CWDKGsqjS6D5S6bByfZ9Z8vxp1aAimxvoMJXHTFRWQWecdLQ/D+eOg3Q+jjnILesRt3x25WPzbOT81/kHhQ8PAv/tEx61RlQPWo2eFm9xBX+gf5l+o13DO/nj21ITYMLlJyUma6FcpuyubGJJlV3NbZjJ3zkUNtTKKYb5dxlWaxXUIpA0FM1Y0Z9dq9JqZh5uWi6FFuCQ75IQfDATqphyc1JSelmQSUVEpDhTTcLjNRTmqu0tTLEWOVNlc2DrIpOIwSlqv9A71uL8vYl7XZn5X5wMPvwv98g+rhDP/2+3g+0E/tYOMnr0GXahglGEwMKorBWKwSGE9hvArar/JoaZzGA4+gw/CYbZxfYganF30C7OOsIpucYvBTUwjfZ+OqnwDgZ9/+OdZ7M8xlVVLrMOy0udidZqPrc5kHk5WdjLgtghUpw06bmuzSMnki8hpnHlVETb+45Uo2D08zUw5ZiEqsqjTppi5KGtbW5rmidpBxp0lqHR4NV1P3Iga9kMVuQDdxGXC7tFOfKHMYrnZ49eBu2jrguspOVqkml/iH+by4itg4LAYlqk7C5vJhrgj2M+G0WK1cyrJE20R8rrMSKQwf+uoP4M0oVCQYvz/Bu+2uF3wM5R0PHlffVvBM3dtzrBDjrKNPgH2cE7BxzIW/kJPBx5a+g6RhUJFAaIEOLHJ9hx/efA9DTrvXC+/qIFdTvdwT+EKzoEOkEDRkiZ8e/Sr3r1nDu8buIhApD0VrucCbZm9jFI3gAm+a9e48FZHRsQ7zusJKr8k1pT2Mem0eX1rBaxtPslitsCcaYX0wy9sq22gaVXRd9gHDtN7FoXSQWafGkNNhjTdHZF0eiid4UqT80iPfQxK7iD0lELD5f+5ET02fvQPdxzHo+wD7OC8gL7+E/e8YIitbjAfpSErQiLl+zR5+aORuVjlLdKxDIDSjMqNlBZ+Yu4nfWfHsfq22ibgtHGOFs8hrAklqNVtiuNLTee8/k2AwzxB9mtUd/rZ1CfcvreeeA+swRqCUIY5ddMdFRJKLfvqeM3VI+ngO6PsA+zivYR57klWPPXP5nb95A19feTFBI6Zaiim5KSOlNqvLi3S1x76szchRXU6OB4kkkAmpddA2wxWK64NczxcoGg0YZnWH0FrujlYB8NnZ13P3nvXIvSUu+sRhsl17zsTQ+ziD6FuAfbwkoTZu4IlfHkIoy49fcwc/1DixJbg/K/Ohbd/H+vo871/xddY7bRaNQ8t4DMmI/VmDLy1dztbmSnZMjbDhBx95EUfSx+lAPw2mjz76eNniZUuAQogZ4PkUJI7AOSpn/8LRH9v5if7Ynj/WWWtHn77wJU+AzxdCiPuttdee7f04E+iP7fxEf2ynH+emVFMfffTRx4uAPgH20UcfL1v0CfDE+PjZ3oEziP7Yzk/0x3aa0fcB9tFHHy9b9C3APvro42WLPgH20UcfL1u85AhQCBEIIe4VQjwshNgqhPj1YvlVQoi7hBCPCiH+VQhRP+o7vySE2CGEeEoI8eajln+9WPZQ8RorlvtCiL8tvnOPEGL9Ud/5YSHE9uL1w2drXEKIYSHE14QQbSHER5+2rVcW6+8QQvyBKNr8no1xnYGxnTPn7HmO7U1CiC3F8i1CiFuO2tb5ft5ONrazc96stS+pF3kXoGrx3gXuAa4H7gNeVyz/UeA3i/eXAg+Tt/fYAOwEVPHZ14Frj/Mb/wn44+L9DwJ/W7wfAnYVfweL94NnaVwV4CbgA8BHn7ate4Ebim1+EXjr2RrXGRjbOXPOnufYrgEmiveXAwdfQuftZGM7K+ftJWcB2hzt4l+3eFngYuCbxfIvAd9bvP8u4G+stbG1djewA7juWX7mu4BPFe//AXhD8TR+M/Ala+28tXah+J23nIZhPedxWWs71tp/B6KjtyOEWAnUrbV32fxK+nPgu8/WuE7n2J4F58vYHrTWHiqWbwWCwgp6KZy3447tWX7mjI7tJUeAAEIIJYR4CJgmP0j3AI8B31ms8v3AmuL9KmD/UV8/UCxbxp8WJvl/WZ5yHP0da20GNIHhU9jWizmuE2FVsV/H28ezMi44bWNbxjlzzuAFje17gQettTEvvfN29NiW8aKft5ckAVprtbX2amA1cJ0Q4nJyU/wnhRBbgBqQFKs/o0AaWM4Neqe19grg5uL17mf5zsm29YLxHMd1IpxsH8/KuOC0jQ3OsXMGz29sQojLgA8DP7686CT7eb6PDc7SeXtJEuAyrLWL5L6Ft1hrn7TWfru19pXAX5P7+iB/chz9hFoNHCq+f7D42wL+iiNT4953hBAO0ADmT7atszCuE+FAsV/H28ezOi54wWM7Z89ZsU+LnMLYhBCrgc8A77HWHn2dnvfn7QRjO3vn7bk6Dc/1FzAKDBTvS8AdwDuAsWKZJPef/Gjx/2UcGwTZRa4T4wAj9oiD9x+ADxT//yTHOmb/zh5xzO4md8oOFu+Hzsa4jvrej/DMQMF95M7qZWf6287WuE7n2M61c/Y8r8eB4nr83uNs67w+byca29k8b2edsE73C7gSeBB4hNwX8f8Wy38G2Fa8fpuiCqb47JfJn1JPcSSyVgG2FNvZCvw+R6LDAfD35AGTe4ELjtrWjxbLdwC3nuVx7SF/WrbJn5iXFsuvLbaxE/jo8nfOxrhO59jOtXP2fMYG/ArQAR466rVMKOf1eTvR2M7meeuXwvXRRx8vW7ykfYB99NFHHydDnwD76KOPly36BNhHH328bNEnwD766ONliz4B9tFHHy9b9Amwjz76eNmiT4B99NHHyxb/PyJVvNMeZNM4AAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "with r.open(b04_path, 'r') as b04, r.open(b08_path, 'r') as b08:\n",
+    "    # we want to only write the bare minimum data necessary to disk\n",
+    "    out_meta = b04.meta.copy()\n",
+    "    \n",
+    "    # we reproject the geojson file we fetched above and convert it so that rasterio\n",
+    "    # can use it as a mask\n",
+    "    mask = tempelhofer_feld.to_crs(out_meta['crs']).iloc[0].geometry\n",
+    "    miny, minx, maxy, maxx = mask.bounds\n",
+    "    \n",
+    "    # update the dimensions and save as geotiff, not jp2\n",
+    "    out_meta.update({\n",
+    "        'width': maxx - minx,\n",
+    "        'height': maxy - miny,\n",
+    "        'driver': 'GTiff',\n",
+    "        'dtype': 'float32'\n",
+    "    })    \n",
+    "    out_name = Path(b04_path).name.replace('B04', 'NDVI').replace('.jp2', '.tif')\n",
+    "    \n",
+    "    ! mkdir -p output\n",
+    "    with r.open(Path('output') / out_name, 'w+', **out_meta) as dst:\n",
+    "        # we take only the part out of our source raster that we actually need\n",
+    "        # crop=True clips off the borders\n",
+    "        b04, transform_b04 = rasterio.mask.mask(b04, shapes=[mask], crop=True)\n",
+    "        b08, _ = rasterio.mask.mask(b08, shapes=[mask], crop=True) # we ignore the returned transform because it's identical to the previous one\n",
+    "        \n",
+    "        b04 = scihub_normalize_range(b04).astype('f4') # <- f4 = float32\n",
+    "        b08 = scihub_normalize_range(b08).astype('f4')\n",
+    "        \n",
+    "        # uncomment the following line to see if your masked shape looks correct\n",
+    "        rplt.show(b04, transform=transform_b04)\n",
+    "        rplt.show(b08, transform=transform_b04)\n",
+    "        \n",
+    "        # we want to be able to ignore divide by zero errors so the formula is nicer to write\n",
+    "        np.seterr(divide='ignore', invalid='ignore')\n",
+    "        ndvi = (b08 - b04) / (b08 + b04)\n",
+    "       \n",
+    "        # uncomment the following line to see if we calculated the index correctly\n",
+    "        rplt.show(ndvi, transform=transform_b04)\n",
+    "        \n",
+    "        dst.write(ndvi)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/true-color-image/02b Timeseries.ipynb b/true-color-image/02b Timeseries.ipynb
new file mode 100644
index 0000000..fc876a4
--- /dev/null
+++ b/true-color-image/02b Timeseries.ipynb	
@@ -0,0 +1,209 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pathlib import Path\n",
+    "from multiprocessing import Pool\n",
+    "import geopandas as gpd\n",
+    "from sentinel_helpers import scihub_band_paths"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "base_path = Path('input/tempelhofer_feld/')\n",
+    "input_files = list(base_path.glob('*.zip'))\n",
+    "area_of_interest = gpd.read_file(base_path / 'tempelhofer_feld.geojson')\n",
+    "ndvi_path = base_path / 'ndvi'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import rasterio as r\n",
+    "import rasterio.mask\n",
+    "import rasterio.plot as rplt\n",
+    "import numpy as np\n",
+    "from sentinel_helpers import scihub_normalize_range\n",
+    "from zipfile import BadZipFile"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def calculate_ndvi(raster_file):\n",
+    "    global area_of_interest\n",
+    "    \n",
+    "    try:\n",
+    "        b04_path, b08_path = scihub_band_paths(raster_file, ['B04', 'B08'], '10m')\n",
+    "    except BadZipFile:\n",
+    "        print(f'Problem reading {raster_file}, skipping it')\n",
+    "        return\n",
+    "\n",
+    "    with r.open(b04_path, 'r') as b04, r.open(b08_path, 'r') as b08:\n",
+    "        # we want to only write the bare minimum data necessary to disk\n",
+    "        out_meta = b04.meta.copy()\n",
+    "\n",
+    "        # we reproject the geojson file we fetched above and convert it so that rasterio\n",
+    "        # can use it as a mask\n",
+    "        mask = area_of_interest.to_crs(out_meta['crs']).iloc[0].geometry\n",
+    "        miny, minx, maxy, maxx = mask.bounds\n",
+    "\n",
+    "        # update the dimensions and save as geotiff, not jp2\n",
+    "        out_meta.update({\n",
+    "            'width': maxx - minx,\n",
+    "            'height': maxy - miny,\n",
+    "            'driver': 'GTiff',\n",
+    "            'dtype': 'float32'\n",
+    "        })    \n",
+    "        out_name = Path(b04_path).name.replace('B04', 'NDVI').replace('.jp2', '.tif')\n",
+    "\n",
+    "        ! mkdir -p {ndvi_path}\n",
+    "        with r.open(ndvi_path / out_name, 'w+', **out_meta) as dst:\n",
+    "            # we take only the part out of our source raster that we actually need\n",
+    "            # crop=True clips off the borders\n",
+    "            b04, transform_b04 = rasterio.mask.mask(b04, shapes=[mask], crop=True)\n",
+    "            b08, _ = rasterio.mask.mask(b08, shapes=[mask], crop=True) # we ignore the returned transform because it's identical to the previous one\n",
+    "\n",
+    "            b04 = scihub_normalize_range(b04).astype('f4') # <- f4 = float32\n",
+    "            b08 = scihub_normalize_range(b08).astype('f4')\n",
+    "\n",
+    "            # uncomment the following line to see if your masked shape looks correct\n",
+    "            #rplt.show(b04, transform=transform_b04)\n",
+    "            #rplt.show(b08, transform=transform_b04)\n",
+    "\n",
+    "            # we want to be able to ignore divide by zero errors so the formula is nicer to write\n",
+    "            np.seterr(divide='ignore', invalid='ignore')\n",
+    "            ndvi = (b08 - b04) / (b08 + b04)\n",
+    "\n",
+    "            # uncomment the following line to see if we calculated the index correctly\n",
+    "            # rplt.show(ndvi, transform=transform_b04)\n",
+    "\n",
+    "            dst.write(ndvi)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from tqdm.notebook import tqdm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "d6bb63ba04f94679ab26c02235782b3c",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(HTML(value=''), FloatProgress(value=0.0, max=40.0), HTML(value='')))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Problem reading input/tempelhofer_feld/S2A_MSIL2A_20190603T101031_N0212_R022_T33UUU_20190603T114652.zip, skipping it\n",
+      "Problem reading input/tempelhofer_feld/S2A_MSIL2A_20190404T101031_N0211_R022_T32UQD_20190404T174806.zip, skipping it\n",
+      "Problem reading input/tempelhofer_feld/S2A_MSIL2A_20190216T102111_N0211_R065_T33UUU_20190216T130428.zip, skipping it\n",
+      "Problem reading input/tempelhofer_feld/S2B_MSIL2A_20190419T101029_N0211_R022_T33UUU_20190419T132322.zip, skipping it\n",
+      "Problem reading input/tempelhofer_feld/S2A_MSIL2A_20190407T102021_N0211_R065_T33UUU_20190407T134109.zip, skipping it\n",
+      "Problem reading input/tempelhofer_feld/S2B_MSIL2A_20190512T102029_N0212_R065_T33UUU_20190512T134103.zip, skipping it\n",
+      "Problem reading input/tempelhofer_feld/S2A_MSIL2A_20190613T101031_N0212_R022_T33UUU_20190614T125329.zip, skipping itProblem reading input/tempelhofer_feld/S2A_MSIL2A_20190424T101031_N0211_R022_T32UQD_20190424T162325.zip, skipping it\n",
+      "\n",
+      "Problem reading input/tempelhofer_feld/S2A_MSIL2A_20190822T101031_N0213_R022_T32UQD_20190822T143621.zip, skipping it\n",
+      "Problem reading input/tempelhofer_feld/S2A_MSIL2A_20190623T101031_N0212_R022_T33UUU_20190623T132509.zip, skipping it\n",
+      "\n",
+      "CPU times: user 179 ms, sys: 154 ms, total: 333 ms\n",
+      "Wall time: 23.7 s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "pool = Pool()\n",
+    "\n",
+    "for _ in tqdm(pool.imap_unordered(calculate_ndvi, input_files), total=len(input_files)):\n",
+    "    # this loop is only here so we can get the progress bar\n",
+    "    pass"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "How many files could we process?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "31\n"
+     ]
+    }
+   ],
+   "source": [
+    "! ls -l {ndvi_path} | wc -l"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/true-color-image/02c Corrupted Zip File.ipynb b/true-color-image/02c Corrupted Zip File.ipynb
new file mode 100644
index 0000000..4db52b0
--- /dev/null
+++ b/true-color-image/02c Corrupted Zip File.ipynb	
@@ -0,0 +1,245 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Problems with Zipfiles\n",
+    "\n",
+    "Some of the downloaded zip files are suspiciously small:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1.2G input/tempelhofer_feld_next_try/S2B_MSIL2A_20190601T102029_N0212_R065_T33UUU_20190601T135040.zip\n",
+      "1.1G input/tempelhofer_feld_next_try/S2A_MSIL2A_20190825T102031_N0213_R065_T33UUU_20190825T134836.zip\n",
+      "1.1G input/tempelhofer_feld_next_try/S2A_MSIL2A_20191014T102031_N0213_R065_T32UQD_20191014T130941.zip\n",
+      "1.1G input/tempelhofer_feld_next_try/S2A_MSIL2A_20190726T102031_N0213_R065_T33UUU_20190726T125507.zip\n",
+      "1.1G input/tempelhofer_feld_next_try/S2A_MSIL2A_20190626T102031_N0212_R065_T33UUU_20190626T125319.zip\n",
+      "1.1G input/tempelhofer_feld_next_try/S2A_MSIL2A_20190417T102031_N0211_R065_T33UUU_20190417T130913.zip\n",
+      "1.1G input/tempelhofer_feld_next_try/S2B_MSIL2A_20190711T102029_N0213_R065_T33UUU_20190711T135545.zip\n",
+      "1.1G input/tempelhofer_feld_next_try/S2B_MSIL2A_20190402T102029_N0211_R065_T33UUU_20190402T135010.zip\n",
+      "1.1G input/tempelhofer_feld_next_try/S2B_MSIL2A_20191029T102039_N0213_R065_T32UQD_20191029T134629.zip\n",
+      "1.1G input/tempelhofer_feld_next_try/S2B_MSIL2A_20190422T102029_N0211_R065_T32UQD_20190422T133643.zip\n",
+      "1.1G input/tempelhofer_feld_next_try/S2A_MSIL2A_20191213T102421_N0213_R065_T33UUU_20191213T120011.zip\n",
+      "845M input/tempelhofer_feld_next_try/S2A_MSIL2A_20190723T101031_N0213_R022_T33UUU_20190723T125722.zip\n",
+      "829M input/tempelhofer_feld_next_try/S2A_MSIL2A_20190911T101021_N0213_R022_T33UUU_20190911T143947.zip\n",
+      "823M input/tempelhofer_feld_next_try/S2A_MSIL2A_20190713T101031_N0213_R022_T33UUU_20190713T135651.zip\n",
+      "823M input/tempelhofer_feld_next_try/S2B_MSIL2A_20190718T101039_N0213_R022_T33UUU_20190718T131731.zip\n",
+      "819M input/tempelhofer_feld_next_try/S2A_MSIL2A_20191210T101411_N0213_R022_T33UUU_20191210T114322.zip\n",
+      "813M input/tempelhofer_feld_next_try/S2A_MSIL2A_20190921T101031_N0213_R022_T33UUU_20190921T130515.zip\n",
+      "809M input/tempelhofer_feld_next_try/S2A_MSIL2A_20191220T101431_N0213_R022_T33UUU_20191220T115219.zip\n",
+      "802M input/tempelhofer_feld_next_try/S2B_MSIL2A_20191205T101309_N0213_R022_T33UUU_20191205T122401.zip\n",
+      "802M input/tempelhofer_feld_next_try/S2A_MSIL2A_20191130T101401_N0213_R022_T33UUU_20191130T115440.zip\n",
+      "789M input/tempelhofer_feld_next_try/S2B_MSIL2A_20190827T101029_N0213_R022_T32UQD_20190827T134854.zip\n",
+      "789M input/tempelhofer_feld_next_try/S2B_MSIL2A_20190519T101039_N0212_R022_T33UUU_20190519T132053.zip\n",
+      "774M input/tempelhofer_feld_next_try/S2B_MSIL2A_20190728T101029_N0213_R022_T32UQD_20190728T134658.zip\n",
+      "771M input/tempelhofer_feld_next_try/S2B_MSIL2A_20190906T101029_N0213_R022_T32UQD_20190906T133832.zip\n",
+      "768M input/tempelhofer_feld_next_try/S2B_MSIL2A_20190529T101039_N0212_R022_T32UQD_20190529T130331.zip\n",
+      "766M input/tempelhofer_feld_next_try/S2B_MSIL2A_20190330T101029_N0211_R022_T33UUU_20190330T144328.zip\n",
+      "764M input/tempelhofer_feld_next_try/S2B_MSIL2A_20190218T101059_N0211_R022_T32UQD_20190218T161620.zip\n",
+      "761M input/tempelhofer_feld_next_try/S2B_MSIL2A_20190320T101029_N0211_R022_T33UUU_20190320T195148.zip\n",
+      "753M input/tempelhofer_feld_next_try/S2B_MSIL2A_20190409T101029_N0211_R022_T32UQD_20190409T134504.zip\n",
+      "723M input/tempelhofer_feld_next_try/S2A_MSIL2A_20190114T101351_N0211_R022_T32UQD_20190114T113404.zip\n",
+      " 43M input/tempelhofer_feld_next_try/S2A_MSIL2A_20190407T102021_N0211_R065_T33UUU_20190407T134109.zip\n",
+      " 42M input/tempelhofer_feld_next_try/S2A_MSIL2A_20190603T101031_N0212_R022_T33UUU_20190603T114652.zip\n",
+      " 38M input/tempelhofer_feld_next_try/S2A_MSIL2A_20190822T101031_N0213_R022_T32UQD_20190822T143621.zip\n",
+      " 35M input/tempelhofer_feld_next_try/S2A_MSIL2A_20190613T101031_N0212_R022_T33UUU_20190614T125329.zip\n",
+      " 31M input/tempelhofer_feld_next_try/S2B_MSIL2A_20190419T101029_N0211_R022_T33UUU_20190419T132322.zip\n",
+      " 30M input/tempelhofer_feld_next_try/S2A_MSIL2A_20190404T101031_N0211_R022_T32UQD_20190404T174806.zip\n",
+      " 30M input/tempelhofer_feld_next_try/S2A_MSIL2A_20190424T101031_N0211_R022_T32UQD_20190424T162325.zip\n",
+      " 29M input/tempelhofer_feld_next_try/S2A_MSIL2A_20190216T102111_N0211_R065_T33UUU_20190216T130428.zip\n",
+      " 29M input/tempelhofer_feld_next_try/S2B_MSIL2A_20190512T102029_N0212_R065_T33UUU_20190512T134103.zip\n",
+      " 25M input/tempelhofer_feld_next_try/S2A_MSIL2A_20190623T101031_N0212_R022_T33UUU_20190623T132509.zip\n"
+     ]
+    }
+   ],
+   "source": [
+    "! ls -Ssh input/tempelhofer_feld_next_try/*.zip "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Trying to extract them causes an error:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Archive:  input/tempelhofer_feld/S2A_MSIL2A_20190623T101031_N0212_R022_T33UUU_20190623T132509.zip\n",
+      "  End-of-central-directory signature not found.  Either this file is not\n",
+      "  a zipfile, or it constitutes one disk of a multi-part archive.  In the\n",
+      "  latter case the central directory and zipfile comment will be found on\n",
+      "  the last disk(s) of this archive.\n",
+      "unzip:  cannot find zipfile directory in one of input/tempelhofer_feld/S2A_MSIL2A_20190623T101031_N0212_R022_T33UUU_20190623T132509.zip or\n",
+      "        input/tempelhofer_feld/S2A_MSIL2A_20190623T101031_N0212_R022_T33UUU_20190623T132509.zip.zip, and cannot find input/tempelhofer_feld/S2A_MSIL2A_20190623T101031_N0212_R022_T33UUU_20190623T132509.zip.ZIP, period.\n"
+     ]
+    }
+   ],
+   "source": [
+    "! ls -S input/tempelhofer_feld/*.zip | tail -n1 | xargs unzip"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sentinelsat"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "api = sentinelsat.SentinelAPI(os.getenv('SCIHUB_USERNAME'), os.getenv('SCIHUB_PASSWORD'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/conda/lib/python3.8/site-packages/pyproj/crs/crs.py:53: FutureWarning: '+init=<authority>:<code>' syntax is deprecated. '<authority>:<code>' is the preferred initialization method. When making the change, be mindful of axis order changes: https://pyproj4.github.io/pyproj/stable/gotchas.html#axis-order-changes-in-proj-6\n",
+      "  return _prepare_from_string(\" \".join(pjargs))\n"
+     ]
+    }
+   ],
+   "source": [
+    "res = api.to_geodataframe(api.query(raw='S2A_MSIL2A_20190623T101031_N0212_R022_T33UUU_20190623T132509'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "bedec483-5ee1-4264-8dfa-a3b53ce364f7    816.67 MB\n",
+       "Name: size, dtype: object"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# we can see that the size given by the scihub api is way larger\n",
+    "res['size']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Do the downloads fail repeatedly?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "input/tempelhofer_feld/S2A_MSIL2A_20190603T101031_N0212_R022_T33UUU_20190603T114652.zip\n",
+      "input/tempelhofer_feld/S2A_MSIL2A_20190404T101031_N0211_R022_T32UQD_20190404T174806.zip\n",
+      "input/tempelhofer_feld/S2A_MSIL2A_20190216T102111_N0211_R065_T33UUU_20190216T130428.zip\n",
+      "input/tempelhofer_feld/S2B_MSIL2A_20190419T101029_N0211_R022_T33UUU_20190419T132322.zip\n",
+      "input/tempelhofer_feld/S2A_MSIL2A_20190407T102021_N0211_R065_T33UUU_20190407T134109.zip\n",
+      "input/tempelhofer_feld/S2B_MSIL2A_20190512T102029_N0212_R065_T33UUU_20190512T134103.zip\n",
+      "input/tempelhofer_feld/S2A_MSIL2A_20190613T101031_N0212_R022_T33UUU_20190614T125329.zip\n",
+      "input/tempelhofer_feld/S2A_MSIL2A_20190424T101031_N0211_R022_T32UQD_20190424T162325.zip\n",
+      "input/tempelhofer_feld/S2A_MSIL2A_20190822T101031_N0213_R022_T32UQD_20190822T143621.zip\n",
+      "input/tempelhofer_feld/S2A_MSIL2A_20190623T101031_N0212_R022_T33UUU_20190623T132509.zip\n"
+     ]
+    }
+   ],
+   "source": [
+    "! find input/tempelhofer_feld -type f -size -500M  -name '*.zip'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "input/tempelhofer_feld_test/S2A_MSIL2A_20190603T101031_N0212_R022_T33UUU_20190603T114652.zip\n",
+      "input/tempelhofer_feld_test/S2A_MSIL2A_20190404T101031_N0211_R022_T32UQD_20190404T174806.zip\n",
+      "input/tempelhofer_feld_test/S2A_MSIL2A_20190216T102111_N0211_R065_T33UUU_20190216T130428.zip\n",
+      "input/tempelhofer_feld_test/S2B_MSIL2A_20190419T101029_N0211_R022_T33UUU_20190419T132322.zip\n",
+      "input/tempelhofer_feld_test/S2A_MSIL2A_20190407T102021_N0211_R065_T33UUU_20190407T134109.zip\n",
+      "input/tempelhofer_feld_test/S2B_MSIL2A_20190512T102029_N0212_R065_T33UUU_20190512T134103.zip\n",
+      "input/tempelhofer_feld_test/S2A_MSIL2A_20190613T101031_N0212_R022_T33UUU_20190614T125329.zip\n",
+      "input/tempelhofer_feld_test/S2A_MSIL2A_20190424T101031_N0211_R022_T32UQD_20190424T162325.zip\n",
+      "input/tempelhofer_feld_test/S2A_MSIL2A_20190822T101031_N0213_R022_T32UQD_20190822T143621.zip\n",
+      "input/tempelhofer_feld_test/S2A_MSIL2A_20190623T101031_N0212_R022_T33UUU_20190623T132509.zip\n"
+     ]
+    }
+   ],
+   "source": [
+    "! find input/tempelhofer_feld_test -type f -size -500M  -name '*.zip'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/true-color-image/input/tempelhofer_feld/tempelhofer_feld.geojson b/true-color-image/input/tempelhofer_feld/tempelhofer_feld.geojson
new file mode 100644
index 0000000..7af8c43
--- /dev/null
+++ b/true-color-image/input/tempelhofer_feld/tempelhofer_feld.geojson
@@ -0,0 +1,7 @@
+{
+"type": "FeatureCollection",
+"crs": { "type": "name", "properties": { "name": "urn:ogc:def:crs:OGC:1.3:CRS84" } },
+"features": [
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+}
diff --git a/true-color-image/input/tempelhofer_feld_test/tempelhofer_feld.geojson b/true-color-image/input/tempelhofer_feld_test/tempelhofer_feld.geojson
new file mode 100644
index 0000000..7af8c43
--- /dev/null
+++ b/true-color-image/input/tempelhofer_feld_test/tempelhofer_feld.geojson
@@ -0,0 +1,7 @@
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+]
+}
diff --git a/true-color-image/sentinel_helpers.py b/true-color-image/sentinel_helpers.py
index 551709b..5021ac3 100644
--- a/true-color-image/sentinel_helpers.py
+++ b/true-color-image/sentinel_helpers.py
@@ -51,15 +51,6 @@ def plot_all(items, extra_kwargs=[]):
             ax = item.plot(**kwargs)
         else:
             item.plot(ax=ax, **kwargs)
-    
-    
-def scihub_product_ids(geodataframe):
-    '''
-    Returns the product ids of items in a GeoDataFrame returned by
-    `sentinelsat.to_geodataframe` as expected by `sentinelsat.download` and
-    `sentinelsat.download_all`.
-    '''
-    return [link.split('Products(\'')[-1].split('\')/$value')[0] for link in geodataframe['link'].values]
 
 
 def scihub_band_paths(p, bands, resolution=None):